Barleyheight: Comparison of genotypes and checking time trend

Description

Data are plant height of barley measured in cm. Averaged over 4 replicates for 15 genotypes. It is of interest if there is any difference in genotypes and also if there is any time trend in heights for the same genotype. Further, one may check if trend is similar across genotypes. It is of interest to explain height using weather information.

Usage

data(Barleyheight)

Arguments

Format

A data frame with 9 observations on the following 23 variables.

Years: Year
Genotype1: Geno type 1
Genotype2: Geno type 2
Genotype3: Geno type 3
Genotype4: Geno type 4
Genotype5: Geno type 5
Genotype6: Geno type 6
Genotype7: Geno type 7
Genotype8: Geno type 8
Genotype9: Geno type 9
Genotype10: Geno type 10
Genotype11: Geno type 11
Genotype12: Geno type 12
Genotype13: Geno type 13
Genotype14: Geno type 14
Genotype15: Geno type 15
Sowing.day.Number.days.since.April1: Sowing day Number of days since April 1
Rainfall1: Rainfall per day (mm) averaged for each of growth period 1
Rainfall2: Rainfall per day (mm) averaged for each of growth period 2
Rainfall3: Rainfall per day (mm) averaged for each of growth period 3
Rainfall4: Rainfall per day (mm) averaged for each of growth period 4
Rainfall5: Rainfall per day (mm) averaged for each of growth period 5
Rainfall6: Rainfall per day (mm) averaged for each of growth period 6

Source

http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html

Details

Try ANOVA, regression, and time series analysis.

Examples

Run this code

data(Barleyheight)

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