Package 'agridatasets'

Description

This package provides a diverse collection of datasets focused on agriculture, agronomy, animal science, and related fields. The package includes experimental, observational, and field-trial data on crops such as rice, wheat, corn, soybean, cotton, coffee, avocado, and orange, as well as forestry species including bamboo, eucalyptus, and timber.

Details

agridatasets: A Comprehensive Collection of Agricultural and Agronomic Datasets

A Comprehensive Collection of Agricultural and Agronomic Datasets.

Author(s)

Maintainer: Renzo Caceres Rossi [email protected]

See Also

Useful links:

• https://github.com/lightbluetitan/agridatasets

Description

This dataset, alfalfa_soil, is a data frame containing alfalfa soil requirement information for land evaluation. It includes codes for soil parameters together with values across suitability classes and weights.

Usage

data(alfalfa_soil)

Format

A data frame with 12 observations and 8 variables:

code

Character vector indicating the soil parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'alfalfa_soil' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, apple_canker, is a data frame containing apple canker infestation data across apple cultivars and inoculum levels. It includes information on inoculum level, cultivar, block, number infested, and total number of shoots.

Usage

data(apple_canker)

Format

A data frame with 36 observations and 5 variables:

inoculum

Integer vector indicating the inoculum level

gen

Factor w/ 3 levels indicating the cultivar

block

Factor w/ 4 levels indicating the block

y

Integer vector indicating the number of infested shoots

n

Integer vector indicating the total number of shoots

Details

The dataset name has been kept as 'apple_canker' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, apple_uniformity, is a data frame containing apple yield data from a uniformity trial experiment. It includes information on row, column, and yield.

Usage

data(apple_uniformity)

Format

A data frame with 198 observations and 3 variables:

row

Integer vector indicating the row

col

Integer vector indicating the column

yield

Integer vector indicating the yield

Details

The dataset name has been kept as 'apple_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, arabica_soil, is a data frame containing arabica coffee soil requirement information for land evaluation. It includes codes for soil parameters together with values across suitability classes and weights.

Usage

data(arabica_soil)

Format

A data frame with 11 observations and 8 variables:

code

Character vector indicating the soil parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'arabica_soil' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, arabica_temp, is a data frame containing arabica coffee temperature requirement information for land evaluation. It includes codes for temperature parameters together with values across suitability classes and weights.

Usage

data(arabica_temp)

Format

A data frame with 3 observations and 8 variables:

code

Character vector indicating the temperature parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'arabica_temp' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, arabica_terrain, is a data frame containing arabica coffee terrain requirement information for land evaluation. It includes codes for terrain parameters together with values across suitability classes and weights.

Usage

data(arabica_terrain)

Format

A data frame with 6 observations and 8 variables:

code

Character vector indicating the terrain parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'arabica_terrain' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, arabica_water, is a data frame containing arabica coffee water requirement information for land evaluation. It includes codes for water-related parameters together with values across suitability classes and weights.

Usage

data(arabica_water)

Format

A data frame with 4 observations and 8 variables:

code

Character vector indicating the water-related parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'arabica_water' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, avocado_us_sale, is a data frame containing weekly Hass avocado sales data in the US. It includes information on week ending date, type, average selling price, total bulk and bags units, PLU 4046 units, PLU 4225 units, PLU 4770 units, total bagged units, small bagged units, large bagged units, and extra-large bagged units.

Usage

data(avocado_us_sale)

Format

A data frame with 810 observations and 11 variables:

week_ending

Date vector indicating the week ending date

type

Character vector indicating the type

avg_selling_price

Numeric vector indicating the average selling price

total_bulk_and_bags_units

Numeric vector indicating the total bulk and bags units

plu4046_units

Numeric vector indicating the PLU 4046 units

plu4225_units

Numeric vector indicating the PLU 4225 units

plu4770_units

Numeric vector indicating the PLU 4770 units

total_bagged_units

Numeric vector indicating the total bagged units

sml_bagged_units

Numeric vector indicating the small bagged units

lrg_bagged_units

Numeric vector indicating the large bagged units

xlrg_bagged_units

Numeric vector indicating the extra-large bagged units

Details

The dataset name has been kept as 'avocado_us_sale' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the avocado package version 0.2.0

Description

This dataset, bamboo_growth, is a data frame containing observations on bamboo growth collected from different geographic locations. It includes information on sampling compartments, locality blocks, transect numbers, and counts of old and new bamboo shoots.

Usage

data(bamboo_growth)

Format

A data frame with 595 observations and 5 variables:

Compartment

Integer vector indicating the sampling compartment

Locality_Block

Integer vector indicating the locality block

Transect_Number

Integer vector indicating the transect number

Old_Shoots

Integer vector indicating the number of old bamboo shoots

New_Shoots

Integer vector indicating the number of new bamboo shoots

Details

The dataset name has been kept as 'bamboo_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, biological_control, is a data frame containing measurements related to biological pest control experiments. In a study of the effectiveness of biological control of the exotic weed tansy ragwort, researchers manipulated the exposure to the ragwort flea beetle on 15 plots that had been planted with a high density of ragwort.

Usage

data(biological_control)

Format

A data frame with 15 observations and 2 variables:

Load

Numeric vector indicating the flea beetle load (beetles/gram of ragwort dry mass)

Mass

Numeric vector indicating the average dry mass of ragwort remaining (grams/plant)

Details

The dataset name has been kept as 'biological_control' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the Sleuth3 package version 1.0-6

Description

This dataset, bird_grazing, is a data frame containing the density of understorey birds at a series of sites in two areas either side of a stockproof fence. It includes information on time period, grazing area, and bird count.

Usage

data(bird_grazing)

Format

A data frame with 62 observations and 3 variables:

When

Factor w/ 2 levels indicating the time period

Grazed

Factor w/ 2 levels indicating the grazing area

Birds

Integer vector indicating the bird count

Details

The dataset name has been kept as 'bird_grazing' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the GLMsData package version 1.4

Description

This dataset, black_duck_survival, is a data frame containing survival data on black ducks (Anas rubripes) followed by the US Fish and Wildlife Service. It includes information on duck identifier, time, status, age, weight, and length.

Usage

data(black_duck_survival)

Format

A data frame with 50 observations and 6 variables:

duck

Integer vector indicating the duck identifier

time

Integer vector indicating the time

status

Integer vector indicating the status

age

Integer vector indicating the age

weight

Integer vector indicating the weight

length

Integer vector indicating the length

Details

The dataset name has been kept as 'black_duck_survival' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the collett package version 0.1.2

Description

This dataset, blackgrass_herbicide, is a data frame containing data from a factorial experiment conducted to evaluate the efficacy of three herbicides across nine different populations of black-grass. It includes information on plot identifier, replicate, pot, population, type, herbicide, and fresh weight.

Usage

data(blackgrass_herbicide)

Format

A data frame with 135 observations and 7 variables:

ID

Factor w/ 135 levels indicating the plot identifier

Rep

Factor w/ 5 levels indicating the replicate

DPot

Factor w/ 27 levels indicating the pot

Population

Factor w/ 9 levels indicating the black-grass population

Type

Factor w/ 2 levels indicating the type

Herbicide

Factor w/ 3 levels indicating the herbicide

Fwt

Numeric vector indicating the fresh weight

Details

The dataset name has been kept as 'blackgrass_herbicide' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the smbdata package version 0.2.0

Description

This dataset, broiler_growth, is a data frame containing daily weight, feed, and egg measurements for a broiler chicken. It includes information on body weight, target body weight, average daily feed intake, average daily gain, egg weight, and age.

Usage

data(broiler_growth)

Format

A data frame with 59 observations and 6 variables:

bw

Integer vector indicating the body weight

targetbw

Integer vector indicating the target body weight

adfi

Numeric vector indicating the average daily feed intake

adg

Numeric vector indicating the average daily gain

eggwt

Numeric vector indicating the egg weight

age

Integer vector indicating the age

Details

The dataset name has been kept as 'broiler_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, budworm_pyrethroid, is a data frame containing the number of tobacco budworms dying at various doses of pyrethroid. It includes information on number killed, total number of budworms, dose, and gender.

Usage

data(budworm_pyrethroid)

Format

A data frame with 12 observations and 4 variables:

Killed

Integer vector indicating the number killed

Number

Integer vector indicating the total number of budworms

Dose

Integer vector indicating the dose

Gender

Factor w/ 2 levels indicating the gender

Details

The dataset name has been kept as 'budworm_pyrethroid' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the GLMsData package version 1.4

Description

This dataset, carrot_fly_infestation, is a data frame containing carrot fly infestation data across carrot genotypes and treatments. It includes information on treatment, genotype, block, total number of plants, and number of infested plants.

Usage

data(carrot_fly_infestation)

Format

A data frame with 96 observations and 5 variables:

trt

Factor w/ 2 levels indicating the treatment

gen

Factor w/ 16 levels indicating the genotype

block

Factor w/ 3 levels indicating the block

n

Integer vector indicating the total number of plants

y

Integer vector indicating the number of infested plants

Details

The dataset name has been kept as 'carrot_fly_infestation' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, carrot_insecticide, is a data frame containing carrot fly damage data for different insecticide treatments and depths. It includes information on treatment, insecticide, depth, replicate, number of damaged carrots, and total number of carrots.

Usage

data(carrot_insecticide)

Format

A data frame with 36 observations and 6 variables:

treatment

Factor w/ 11 levels indicating the treatment

insecticide

Factor w/ 3 levels indicating the insecticide

depth

Numeric vector indicating the depth

rep

Factor w/ 3 levels indicating the replicate

damaged

Integer vector indicating the number of damaged carrots

total

Integer vector indicating the total number of carrots

Details

The dataset name has been kept as 'carrot_insecticide' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, cattle_butterfat, is a data frame containing the average butterfat content for dairy cattle. It includes information on butterfat content, breed, and age.

Usage

data(cattle_butterfat)

Format

A data frame with 100 observations and 3 variables:

Butterfat

Numeric vector indicating the butterfat content

Breed

Factor w/ 5 levels indicating the breed

Age

Factor w/ 2 levels indicating the age

Details

The dataset name has been kept as 'cattle_butterfat' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the GLMsData package version 1.4

Description

This dataset, cauliflower_growth, is a data frame containing cauliflower leaf growth data across different growing times. It includes information on year, degree days, and number of leaves.

Usage

data(cauliflower_growth)

Format

A data frame with 14 observations and 3 variables:

year

Integer vector indicating the year

degdays

Numeric vector indicating the degree days

leaves

Integer vector indicating the number of leaves

Details

The dataset name has been kept as 'cauliflower_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, coffee_composition, is a data frame containing chemical composition samples of Arabica and Robusta coffee. It includes information on variety, country, water, bean weight, extract yield, pH value, free acid, mineral content, fat, caffeine, trigonelline, chlorogenic acid, neochlorogenic acid, and isochlorogenic acid.

Usage

data(coffee_composition)

Format

A data frame with 43 observations and 14 variables:

Variety

Factor w/ 2 levels indicating the coffee variety

Country

Factor w/ 29 levels indicating the country

Water

Numeric vector indicating the water content

Bean Weight

Numeric vector indicating the bean weight

Extract Yield

Numeric vector indicating the extract yield

ph Value

Numeric vector indicating the pH value

Free Acid

Numeric vector indicating the free acid content

Mineral Content

Numeric vector indicating the mineral content

Fat

Numeric vector indicating the fat content

Caffine

Numeric vector indicating the caffeine content

Trigonelline

Numeric vector indicating the trigonelline content

Chlorogenic Acid

Numeric vector indicating the chlorogenic acid content

Neochlorogenic Acid

Numeric vector indicating the neochlorogenic acid content

Isochlorogenic Acid

Numeric vector indicating the isochlorogenic acid content

Details

The dataset name has been kept as 'coffee_composition' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the IMIFA package version 2.2.0

Description

This dataset, coffee_production, is a data frame containing world coffee production data. It includes information on country name, coffee production in 2016, and coffee production in 2017.

Usage

data(coffee_production)

Format

A data frame with 47 observations and 3 variables:

name_long

Character vector indicating the country name

coffee_production_2016

Integer vector indicating the coffee production in 2016

coffee_production_2017

Integer vector indicating the coffee production in 2017

Details

The dataset name has been kept as 'coffee_production' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the spData package version 2.3.5

Description

This dataset, cork_tree_direction, is a data frame containing weight measurements of cork samples taken from four sides of trees. It includes information on tree identifier, direction, and weight.

Usage

data(cork_tree_direction)

Format

A data frame with 112 observations and 3 variables:

tree

Factor w/ 28 levels indicating the tree identifier

dir

Factor w/ 4 levels indicating the direction

y

Integer vector indicating the weight

Details

The dataset name has been kept as 'cork_tree_direction' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, corn_hybrid_density, is a data frame containing observations from a factorial experiment comparing three corn hybrids across two sowing densities. It includes information on hybrid, sowing density, and the corresponding response variable.

Usage

data(corn_hybrid_density)

Format

A data frame with 24 observations and 3 variables:

A

Character vector indicating the corn hybrid

B

Character vector indicating the sowing density

Resp

Numeric vector indicating the response variable

Details

The dataset name has been kept as 'corn_hybrid_density' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the AgroR package version 1.3.7

Description

This dataset, cotton_pesticide, is a data frame containing observations on cotton response to herbicide and insecticide treatments. It includes information on plot identifier, herbicide level, insecticide level, and weight.

Usage

data(cotton_pesticide)

Format

A data frame with 25 observations and 4 variables:

ID

Factor w/ 25 levels indicating the plot identifier

H

Numeric vector indicating the herbicide level

I

Integer vector indicating the insecticide level

Weight

Numeric vector indicating the weight

Details

The dataset name has been kept as 'cotton_pesticide' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the smbdata package version 0.2.0

Description

This dataset, cowpea_maize_yield, is a data frame containing maize and cowpea yield data under different nitrogen levels from an intercropping experiment. It includes information on block, nitrogen level, cowpea variety, maize variety, cowpea yield, and maize yield.

Usage

data(cowpea_maize_yield)

Format

A data frame with 72 observations and 6 variables:

block

Factor w/ 3 levels indicating the block

nitro

Factor w/ 4 levels indicating the nitrogen level

cowpea

Factor w/ 2 levels indicating the cowpea variety

maize

Factor w/ 3 levels indicating the maize variety

cyield

Integer vector indicating the cowpea yield

myield

Integer vector indicating the maize yield

Details

The dataset name has been kept as 'cowpea_maize_yield' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, cows_insemination, is a data frame containing records of artificial insemination and conception in cows collected over multiple time periods. It includes insemination and conception counts for three breeding cycles labeled C1, C2, and C3.

Usage

data(cows_insemination)

Format

A data frame with 10 observations and 7 variables:

Time

Factor indicating the time period

Sillod_Insemination_C1

Integer vector indicating the number of inseminations during cycle 1

Sillod_Conception_C1

Integer vector indicating the number of conceptions during cycle 1

Sillod_Insemination_C2

Integer vector indicating the number of inseminations during cycle 2

Sillod_Conception_C2

Integer vector indicating the number of conceptions during cycle 2

Sillod_Insemination_C3

Integer vector indicating the number of inseminations during cycle 3

Sillod_Conception_C3

Integer vector indicating the number of conceptions during cycle 3

Details

The dataset name has been kept as 'cows_insemination' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, earthworm_crop_soils, is a data frame containing observations on earthworm populations in cultivated soils. It includes measurements of earthworm density and biomass together with information on crop type, year, and soil type.

Usage

data(earthworm_crop_soils)

Format

A data frame with 12 observations and 5 variables:

Density

Integer vector indicating earthworm population density

Biomass

Numeric vector indicating earthworm biomass

Crop

Factor indicating the crop type

Year

Integer vector indicating the year of observation

Soil

Factor indicating the soil type

Details

The dataset name has been kept as 'earthworm_crop_soils' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, earthworm_population, is a data frame containing observations on earthworm population dynamics over time. It includes monthly measurements of earthworm density and biomass.

Usage

data(earthworm_population)

Format

A data frame with 46 observations and 3 variables:

Month

Factor indicating the month of observation

Density

Numeric vector indicating earthworm population density

Biomass

Numeric vector indicating earthworm biomass

Details

The dataset name has been kept as 'earthworm_population' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, eelworm_fumigation, is a data frame containing counts of eelworms before and after fumigant treatments. It includes information on block, row, column, fumigant, dose, initial and final eelworm counts, grain, straw, and weeds.

Usage

data(eelworm_fumigation)

Format

A data frame with 48 observations and 10 variables:

block

Factor w/ 4 levels indicating the block

row

Integer vector indicating the row

col

Integer vector indicating the column

fumigant

Factor w/ 5 levels indicating the fumigant

dose

Integer vector indicating the dose

initial

Integer vector indicating the initial eelworm count

final

Integer vector indicating the final eelworm count

grain

Numeric vector indicating the grain measurement

straw

Numeric vector indicating the straw measurement

weeds

Numeric vector indicating the weeds measurement

Details

The dataset name has been kept as 'eelworm_fumigation' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, egg_weight_daily, is a data frame containing a sample of egg weights collected on 24 consecutive days. It includes information on day and weight.

Usage

data(egg_weight_daily)

Format

A data frame with 240 observations and 2 variables:

day

Integer vector indicating the day

weight

Integer vector indicating the egg weight

Details

The dataset name has been kept as 'egg_weight_daily' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, eucalyptus_progenies, is a data frame containing height measurements of 7-year-old Eucalyptus grandis trees. It includes observations across three trials and six progenies arranged in randomized blocks.

Usage

data(eucalyptus_progenies)

Format

A data frame with 72 observations and 4 variables:

trati

Character vector indicating the progeny

bloc

Character vector indicating the block

exp

Character vector indicating the trial

resp

Numeric vector indicating the height response

Details

The dataset name has been kept as 'eucalyptus_progenies' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the AgroR package version 1.3.7

Description

This dataset, fish_feeding, is a data frame containing the food consumption for various fish species. It includes information on species, maximum weight, temperature, aspect ratio, food type, and food consumption.

Usage

data(fish_feeding)

Format

A data frame with 33 observations and 6 variables:

Species

Factor w/ 33 levels indicating the species

MaxWt

Integer vector indicating the maximum weight

Temp

Integer vector indicating the temperature

AR

Numeric vector indicating the aspect ratio

Food

Factor w/ 2 levels indicating the food type

FoodCon

Numeric vector indicating the food consumption

Details

The dataset name has been kept as 'fish_feeding' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the GLMsData package version 1.4

Description

This dataset, fungicide_latin_square, is a data frame containing data from a Latin square experiment for testing fungicide. It includes information on treatment, yield, row, and column.

Usage

data(fungicide_latin_square)

Format

A data frame with 25 observations and 4 variables:

trt

Factor w/ 5 levels indicating the treatment

yield

Numeric vector indicating the yield

row

Integer vector indicating the row

col

Integer vector indicating the column

Details

The dataset name has been kept as 'fungicide_latin_square' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, grape_uniformity, is a data frame containing grape yield data from a uniformity trial experiment. It includes information on row, column, and yield.

Usage

data(grape_uniformity)

Format

A data frame with 155 observations and 3 variables:

row

Integer vector indicating the row

col

Integer vector indicating the column

yield

Numeric vector indicating the yield

Details

The dataset name has been kept as 'grape_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, guinea_pig_sleep, is a data frame containing sleep times for guinea pigs. It includes information on dose and sleep time.

Usage

data(guinea_pig_sleep)

Format

A data frame with 30 observations and 2 variables:

Dose

Numeric vector indicating the dose

Sleep

Numeric vector indicating the sleep time

Details

The dataset name has been kept as 'guinea_pig_sleep' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the GLMsData package version 1.4

Description

This dataset, hawaii_plant_size, is a data frame containing maximum plant size measurements for species in the Hawaiian archipelago. It includes information on species, family, native status, sample size, 95th percentile diameter, and maximum diameter of the three largest individuals.

Usage

data(hawaii_plant_size)

Format

A data frame with 58 observations and 6 variables:

species

Character vector indicating the species

family

Integer vector indicating the family code

native.status

Factor w/ 2 levels indicating the native status

n

Integer vector indicating the sample size

d95

Numeric vector indicating the 95th percentile diameter

dmax3

Numeric vector indicating the maximum diameter of the three largest individuals

Details

The dataset name has been kept as 'hawaii_plant_size' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the biometrics package version 1.0.4

Description

This dataset, hawaii_tree_growth, is a data frame containing diameter growth increments of a tropical tree species in Hawaii. It includes information on tree code, diameter at breast height, total height, crown area, competition index, and current annual increment for 1986, 1987, and 1988.

Usage

data(hawaii_tree_growth)

Format

A data frame with 63 observations and 8 variables:

tree.code

Factor w/ 63 levels indicating the tree code

dbh

Numeric vector indicating the diameter at breast height

toth

Numeric vector indicating the total height

crown.area

Numeric vector indicating the crown area

comp.ind

Numeric vector indicating the competition index

cai.1986

Numeric vector indicating the current annual increment for 1986

cai.1987

Numeric vector indicating the current annual increment for 1987

cai.1988

Numeric vector indicating the current annual increment for 1988

Details

The dataset name has been kept as 'hawaii_tree_growth' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the biometrics package version 1.0.4

Description

This dataset, idn_rice_farms, is a data frame containing observations on rice production farms in Indonesia. It includes information on farm size, status, rice varieties, program participation, input use, labor, wages, output, price, and region.

Usage

data(idn_rice_farms)

Format

A data frame with 1026 observations and 20 variables:

id

Integer vector indicating the farm identifier

size

Numeric vector indicating the farm size

status

Factor w/ 3 levels indicating the status

varieties

Factor w/ 3 levels indicating the rice varieties

bimas

Factor w/ 3 levels indicating the bimas program participation

seed

Integer vector indicating the seed quantity

urea

Integer vector indicating the urea quantity

phosphate

Integer vector indicating the phosphate quantity

pesticide

Integer vector indicating the pesticide quantity

pseed

Numeric vector indicating the price of seed

purea

Numeric vector indicating the price of urea

pphosph

Numeric vector indicating the price of phosphate

hiredlabor

Integer vector indicating the hired labor

famlabor

Integer vector indicating the family labor

totlabor

Integer vector indicating the total labor

wage

Numeric vector indicating the wage

goutput

Integer vector indicating the gross output

noutput

Integer vector indicating the net output

price

Numeric vector indicating the price

region

Factor w/ 6 levels indicating the region

Details

The dataset name has been kept as 'idn_rice_farms' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the plm package version 2.6-7

Description

This dataset, kiwi_crop_design, is a data frame containing the experimental design of a kiwifruit cover crop study. It includes information on sample identifier and treatment.

Usage

data(kiwi_crop_design)

Format

A data frame with 12 observations and 2 variables:

SampleID

Character vector indicating the sample identifier

Treatments

Character vector indicating the treatment

Details

The dataset name has been kept as 'kiwi_crop_design' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the easynem package version 1.0.3

Description

This dataset, ladybird_fungus, is a data frame containing data from an experiment conducted to study the transmission of fungus from ladybirds to aphids on two host plant types (beans or birdsfoot trefoil). It includes information on plot identifier, run, plant, host, ladybird presence, number of cadavers, number of live aphids, and number of infected aphids.

Usage

data(ladybird_fungus)

Format

A data frame with 72 observations and 8 variables:

ID

Factor w/ 72 levels indicating the plot identifier

Run

Factor w/ 2 levels indicating the run

DPlant

Factor w/ 36 levels indicating the plant

Host

Factor w/ 2 levels indicating the host plant type

Ladybird

Factor w/ 2 levels indicating the ladybird presence

Cadaver

Integer vector indicating the number of cadavers

Live

Integer vector indicating the number of live aphids

Infected

Integer vector indicating the number of infected aphids

Details

The dataset name has been kept as 'ladybird_fungus' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the smbdata package version 0.2.0

Description

This dataset, lamb_births, is a data frame containing lamb birth data across sheep breeds and farms. It includes information on farm, breed, lamb class, and number of lambs.

Usage

data(lamb_births)

Format

A data frame with 36 observations and 4 variables:

farm

Factor w/ 3 levels indicating the farm

breed

Factor w/ 3 levels indicating the breed

lambclass

Factor w/ 4 levels indicating the lamb class

y

Integer vector indicating the number of lambs

Details

The dataset name has been kept as 'lamb_births' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, nitrofen_toxicity, is a data frame containing data from an experiment to measure the reproductive toxicity of nitrofen on a species of zooplankton (Ceriodaphnia dubia). Fifty animals were randomized into batches of ten and each batch was put in a solution with a measured concentration of nitrofen. It includes information on nitrofen concentration and brood sizes across three broods along with the total.

Usage

data(nitrofen_toxicity)

Format

A data frame with 50 observations and 5 variables:

conc

Numeric vector indicating the nitrofen concentration

brood1

Numeric vector indicating the number of offspring in brood 1

brood2

Numeric vector indicating the number of offspring in brood 2

brood3

Numeric vector indicating the number of offspring in brood 3

total

Numeric vector indicating the total number of offspring

Details

The dataset name has been kept as 'nitrofen_toxicity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the boot package version 1.3-32

Description

This dataset, orange_rootstocks, is a data frame containing observations on orange plants grown under different rootstocks. It includes information on rootstock treatment, block, and the corresponding response variable.

Usage

data(orange_rootstocks)

Format

A data frame with 27 observations and 3 variables:

trat

Character vector indicating the rootstock treatment

bloco

Character vector indicating the block

resp

Numeric vector indicating the response variable

Details

The dataset name has been kept as 'orange_rootstocks' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the AgroR package version 1.3.7

Description

This dataset, peach_uniformity, is a data frame containing peach yield data from a uniformity trial experiment. It includes information on row, column, and yield.

Usage

data(peach_uniformity)

Format

A data frame with 144 observations and 3 variables:

row

Integer vector indicating the row

col

Integer vector indicating the column

yield

Integer vector indicating the yield

Details

The dataset name has been kept as 'peach_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, pig_weight_gain, is a data frame containing weight gain data in pigs for different treatments. It includes information on pen, treatment, pig identifier, sex, initial weight, final weight, feed consumption, adjusted initial weight, average daily gain, and feed conversion ratio.

Usage

data(pig_weight_gain)

Format

A data frame with 30 observations and 10 variables:

pen

Factor w/ 5 levels indicating the pen

treatment

Factor w/ 3 levels indicating the treatment

pig

Integer vector indicating the pig identifier

sex

Factor w/ 2 levels indicating the sex

weight1

Numeric vector indicating the initial weight

weight2

Numeric vector indicating the final weight

feed

Numeric vector indicating the feed consumption

w0

Integer vector indicating the adjusted initial weight

g

Numeric vector indicating the average daily gain

h

Numeric vector indicating the feed conversion ratio

Details

The dataset name has been kept as 'pig_weight_gain' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, plant_growth_regulator, is a data frame containing plant height measurements from a glasshouse experiment conducted to examine how different doses of a growth regulator affect plant height under controlled conditions. It includes information on pot, row, column, growth regulator dose, and plant height.

Usage

data(plant_growth_regulator)

Format

A data frame with 24 observations and 5 variables:

Pot

Factor w/ 24 levels indicating the pot

Row

Factor w/ 4 levels indicating the row

Column

Factor w/ 6 levels indicating the column

Dose

Factor w/ 6 levels indicating the growth regulator dose

Height

Numeric vector indicating the plant height

Details

The dataset name has been kept as 'plant_growth_regulator' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the smbdata package version 0.2.0

Description

This dataset, pollen_removal, is a data frame containing data from a study investigating reproductive strategies in plants. Biologists recorded the time spent at sources of pollen and the proportions of pollen removed by bumblebee queens and honeybee workers pollinating a species of lily.

Usage

data(pollen_removal)

Format

A data frame with 47 observations and 3 variables:

PollenRemoved

Numeric vector indicating the proportion of pollen removed

DurationOfVisit

Integer vector indicating the duration of visit

BeeType

Factor w/ 2 levels indicating the bee type

Details

The dataset name has been kept as 'pollen_removal' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the Sleuth3 package version 1.0-6

Description

This dataset, potato_scab_sulfur, is a data frame containing observations on potato scab infection under different sulfur treatments. It includes information on infection score, treatment, row, and column.

Usage

data(potato_scab_sulfur)

Format

A data frame with 32 observations and 4 variables:

inf

Integer vector indicating the infection score

trt

Factor w/ 7 levels indicating the treatment

row

Integer vector indicating the row

col

Integer vector indicating the column

Details

The dataset name has been kept as 'potato_scab_sulfur' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, rabbit_body_mass, is a data frame containing measurements used to examine the relationship between hind foot length and body weight in rabbits. It includes continuous measurements of hind foot length and body weight.

Usage

data(rabbit_body_mass)

Format

A data frame with 141 observations and 2 variables:

Hind_Foot_Length

Numeric vector indicating hind foot length

Body_Weight

Numeric vector indicating body weight

Details

The dataset name has been kept as 'rabbit_body_mass' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, red_wine_quality, is a data frame containing physicochemical characteristics and quality ratings of red wine samples from north Portugal. It includes information on acidity, sugar, chlorides, sulfur dioxide, density, pH, sulphates, alcohol, and quality.

Usage

data(red_wine_quality)

Format

A data frame with 1599 observations and 12 variables:

fixed_acidity

Numeric vector indicating the fixed acidity

volatile_acidity

Numeric vector indicating the volatile acidity

citric_acid

Numeric vector indicating the citric acid content

residual_sugar

Numeric vector indicating the residual sugar

chlorides

Numeric vector indicating the chlorides content

free_sulfur_dioxide

Numeric vector indicating the free sulfur dioxide

total_sulfur_dioxide

Numeric vector indicating the total sulfur dioxide

density

Numeric vector indicating the density

pH

Numeric vector indicating the pH

sulphates

Numeric vector indicating the sulphates content

alcohol

Numeric vector indicating the alcohol content

quality

Integer vector indicating the quality rating

Details

The dataset name has been kept as 'red_wine_quality' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the live package version 1.5.13

Description

This dataset, rice_wheat_production, is a data frame containing observations on rice and wheat production over multiple years. It includes information on food type, year, area, production, yield, and irrigation.

Usage

data(rice_wheat_production)

Format

A data frame with 106 observations and 6 variables:

Food

Factor indicating the food type

Year

Factor indicating the year

Area

Numeric vector indicating the area

Production

Numeric vector indicating the production

Yield

Integer vector indicating the yield

Irrigated

Factor indicating irrigation

Details

The dataset name has been kept as 'rice_wheat_production' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, river_deforestation, is a data frame containing air and water temperature measurements before and after deforestation. It includes information on water temperature, air temperature, and deforestation period.

Usage

data(river_deforestation)

Format

A data frame with 56 observations and 3 variables:

Temp_water

Numeric vector indicating the water temperature

Temp_air

Numeric vector indicating the air temperature

Deforestation

Factor w/ 2 levels indicating the deforestation period

Details

The dataset name has been kept as 'river_deforestation' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the EnTraineR package version 1.0.0

Description

This dataset, robusta_soil, is a data frame containing robusta coffee soil requirement information for land evaluation. It includes codes for soil parameters together with values across suitability classes and weights.

Usage

data(robusta_soil)

Format

A data frame with 10 observations and 8 variables:

code

Character vector indicating the soil parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'robusta_soil' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, robusta_temp, is a data frame containing robusta coffee temperature requirement information for land evaluation. It includes codes for temperature parameters together with values across suitability classes and weights.

Usage

data(robusta_temp)

Format

A data frame with 3 observations and 8 variables:

code

Character vector indicating the temperature parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'robusta_temp' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, robusta_terrain, is a data frame containing robusta coffee terrain requirement information for land evaluation. It includes codes for terrain parameters together with values across suitability classes and weights.

Usage

data(robusta_terrain)

Format

A data frame with 5 observations and 8 variables:

code

Character vector indicating the terrain parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'robusta_terrain' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, robusta_water, is a data frame containing robusta coffee water requirement information for land evaluation. It includes codes for water-related parameters together with values across suitability classes and weights.

Usage

data(robusta_water)

Format

A data frame with 4 observations and 8 variables:

code

Character vector indicating the water-related parameter code

s3_a

Character vector indicating the s3_a value

s2_a

Character vector indicating the s2_a value

s1_a

Character vector indicating the s1_a value

s1_b

Character vector indicating the s1_b value

s2_b

Character vector indicating the s2_b value

s3_b

Character vector indicating the s3_b value

wts

Character vector indicating the weight

Details

The dataset name has been kept as 'robusta_water' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the ALUES package version 0.2.1

Description

This dataset, seed_germination, is a data frame containing seed germination data under different temperatures and concentrations. It includes information on temperature, replicate, concentration, number germinated, and total number of seeds.

Usage

data(seed_germination)

Format

A data frame with 64 observations and 5 variables:

temp

Factor w/ 4 levels indicating the temperature

rep

Factor w/ 4 levels indicating the replicate

conc

Numeric vector indicating the concentration

germ

Integer vector indicating the number germinated

seeds

Integer vector indicating the total number of seeds

Details

The dataset name has been kept as 'seed_germination' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, soil_munsell_colors, is a data frame containing traditional soil color names associated with Munsell color notation. It includes information on Munsell notation and the corresponding traditional color name.

Usage

data(soil_munsell_colors)

Format

A data frame with 482 observations and 2 variables:

munsell

Character vector indicating the Munsell color notation

traditional_name

Character vector indicating the traditional color name

Details

The dataset name has been kept as 'soil_munsell_colors' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the aqp package version 2.3.2

Description

This dataset, soil_munsell_minerals, is a data frame containing Munsell color information for common soil minerals. It includes information on mineral name, Munsell color notation, hue, value, and chroma.

Usage

data(soil_munsell_minerals)

Format

A data frame with 20 observations and 5 variables:

mineral

Character vector indicating the mineral name

color

Character vector indicating the Munsell color notation

hue

Character vector indicating the Munsell hue

value

Integer vector indicating the Munsell value

chroma

Integer vector indicating the Munsell chroma

Details

The dataset name has been kept as 'soil_munsell_minerals' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the aqp package version 2.3.2

Description

This dataset, soybean_cultivars, is a data frame containing grain yield evaluations of ten commercial soybean cultivars arranged in randomized complete blocks. It includes information on cultivar, block, and grain yield.

Usage

data(soybean_cultivars)

Format

A data frame with 40 observations and 3 variables:

cult

Factor w/ 10 levels indicating the cultivar

bloc

Factor w/ 4 levels indicating the block

prod

Numeric vector indicating the grain yield

Details

The dataset name has been kept as 'soybean_cultivars' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the AgroR package version 1.3.7

Description

This dataset, strawberry_cross_disease, is a data frame containing disease ratings for strawberry crosses across parental combinations. It includes information on male parent, female parent, block, disease category, and count.

Usage

data(strawberry_cross_disease)

Format

A data frame with 144 observations and 5 variables:

male

Factor w/ 3 levels indicating the male parent

female

Factor w/ 4 levels indicating the female parent

block

Factor w/ 4 levels indicating the block

category

Factor w/ 3 levels indicating the disease category

count

Integer vector indicating the count

Details

The dataset name has been kept as 'strawberry_cross_disease' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, strawberry_yield, is a data frame containing strawberry yield data from a randomized complete block experiment. It includes information on row, column, block, genotype, and yield.

Usage

data(strawberry_yield)

Format

A data frame with 32 observations and 5 variables:

row

Integer vector indicating the row

col

Integer vector indicating the column

block

Factor w/ 4 levels indicating the block

gen

Factor w/ 8 levels indicating the genotype

yield

Numeric vector indicating the yield

Details

The dataset name has been kept as 'strawberry_yield' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, timber_genetics, is a data frame containing observations on genetic and environmental components of timber tree characteristics. It includes information on locality, year, replicate, subculture, elongation, multiples, rooting, germination, seed length, and seed width.

Usage

data(timber_genetics)

Format

A data frame with 224 observations and 10 variables:

Locality

Integer vector indicating locality

Year

Integer vector indicating year

Replicate

Integer vector indicating replicate

Subculture

Integer vector indicating subculture

Elongation

Numeric vector indicating elongation

Multiples

Numeric vector indicating multiples

Rooting

Numeric vector indicating rooting

Germination

Integer vector indicating germination

Seed_Length

Numeric vector indicating seed length

Seed_Width

Numeric vector indicating seed width

Details

The dataset name has been kept as 'timber_genetics' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the gpk package version 1.0

Description

This dataset, tomato_insecticides, is a data frame containing a curated record of 15 commercial insecticide products used for pest control in tomato (Solanum lycopersicum) cultivation. Each entry documents the product name, active ingredient, and target pest group (caterpillars, aphids, whiteflies, mites, thrips, and nematodes).

Usage

data(tomato_insecticides)

Format

A data frame with 15 observations and 4 variables:

insecticide_id

Character vector indicating the insecticide identifier

product_name

Character vector indicating the product name

active_ingredient

Character vector indicating the active ingredient

target_pest

Character vector indicating the target pest group

Details

The dataset name has been kept as 'tomato_insecticides' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from Zenodo: https://zenodo.org/records/21611429

Description

This dataset, tomato_uniformity, is a data frame containing tomato yield data from a uniformity trial experiment. It includes information on row, column, and yield.

Usage

data(tomato_uniformity)

Format

A data frame with 180 observations and 3 variables:

row

Integer vector indicating the row

col

Integer vector indicating the column

yield

Integer vector indicating the yield

Details

The dataset name has been kept as 'tomato_uniformity' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, toxin_lethal_dose, is a data frame containing observations used to identify the lethal dose of a crop protection product. It includes information on dose level together with the number of dead and alive individuals.

Usage

data(toxin_lethal_dose)

Format

A data frame with 6 observations and 3 variables:

dose

Numeric vector indicating the dose level

dead

Integer vector indicating the number of dead individuals

alive

Integer vector indicating the number of alive individuals

Details

The dataset name has been kept as 'toxin_lethal_dose' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the mcprofile package version 1.0-1

Description

This dataset, turnip_density, is a data frame containing turnip yield data under different plant densities and spacings across three blocks. It includes information on yield, block, spacing, and density.

Usage

data(turnip_density)

Format

A data frame with 60 observations and 4 variables:

yield

Numeric vector indicating the yield

block

Factor w/ 3 levels indicating the block

spacing

Integer vector indicating the spacing

density

Numeric vector indicating the density

Details

The dataset name has been kept as 'turnip_density' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, us_state_soils, is a data frame containing the official state soil for each US state and territory. It includes information on the state name, its abbreviation, and the corresponding soil series.

Usage

data(us_state_soils)

Format

A data frame with 52 observations and 3 variables:

state

Character vector indicating the state name

abbreviated

Character vector indicating the state abbreviation

series

Character vector indicating the soil series

Details

The dataset name has been kept as 'us_state_soils' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the aqp package version 2.3.2

Description

This function lists all datasets available in the 'agridatasets' package. If the 'agridatasets' package is not loaded, it stops and shows an error message. If no datasets are available, it returns a message and an empty vector.

Usage

view_datasets_agridatasets()

Value

A character vector with the names of the available datasets. If no datasets are found, it returns an empty character vector.

Examples

if (requireNamespace("agridatasets", quietly = TRUE)) {
  library(agridatasets)
  view_datasets_agridatasets()
}

Description

This dataset, wheat_bunt, is a data frame containing fungus infection data for different wheat varieties. It includes information on bunt race, percentage infection, replicate, and genotype.

Usage

data(wheat_bunt)

Format

A data frame with 400 observations and 4 variables:

bunt

Factor w/ 20 levels indicating the bunt race

pct

Numeric vector indicating the percentage infection

rep

Factor w/ 2 levels indicating the replicate

gen

Factor w/ 10 levels indicating the genotype

Details

The dataset name has been kept as 'wheat_bunt' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, wheat_splitsplit, is a data frame containing wheat yield data from a split-split-plot experiment. It includes information on row, column, yield, inoculation, treatment, genotype, moisture condition, seed treatment, and block.

Usage

data(wheat_splitsplit)

Format

A data frame with 160 observations and 9 variables:

row

Integer vector indicating the row

col

Integer vector indicating the column

yield

Integer vector indicating the yield

inoc

Factor w/ 2 levels indicating the inoculation

trt

Integer vector indicating the treatment

gen

Factor w/ 2 levels indicating the genotype

dry

Factor w/ 2 levels indicating the moisture condition

dust

Factor w/ 5 levels indicating the seed treatment

block

Factor w/ 4 levels indicating the block

Details

The dataset name has been kept as 'wheat_splitsplit' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the agridat package version 1.26

Description

This dataset, willow_cutting_yield, is a data frame containing observations on the effect of cutting type and size on willow yield. It includes information on plot identifier, block, plot, cutting type, cutting size, and yield.

Usage

data(willow_cutting_yield)

Format

A data frame with 25 observations and 6 variables:

ID

Factor w/ 25 levels indicating the plot identifier

Block

Factor w/ 5 levels indicating the block

Plot

Factor w/ 5 levels indicating the plot

Type

Factor w/ 5 levels indicating the cutting type

Size

Factor w/ 3 levels indicating the cutting size

Yield

Numeric vector indicating the yield

Details

The dataset name has been kept as 'willow_cutting_yield' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.

Source

Data taken from the smbdata package version 0.2.0