rowcoldata: Analysis of Row Column Experimental Design Data
In plantbreeding: Analysis and visualization of data from plant breeding and genetics experiments
Description
Usage
Format
Examples
Description
The data us example of row-column augmented design.
Usage
1
Format
A data frame with 75 observations on the following 4 variables.
rowsa numeric vector
columnsa numeric vector
genotypesgentypes 50 + 5 checks
yieldyield - a numeric vector
Examples
1
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10
data(rowcoldata)
outp <- aug.rowcol(dataframe = rowcoldata, rows = "rows", columns = "columns",
genotypes = "genotypes", yield = "yield")
outp$ANOVA # analysis of variance
outp$Adjustment # adjusted values
# calculation of means
stab <- aggregate( yield ~ genotypes, data=rowcoldata, FUN= mean)
hist(stab$yield, col = "cadetblue", xlab = "Grain Yield",
main = "Mean yields from Augmented Yield Trial")
plantbreeding documentation built on May 2, 2019, 4:54 p.m.
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Description Usage Format Examples
Description
The data us example of row-column augmented design.
Usage
1 |
Format
A data frame with 75 observations on the following 4 variables.
rowsa numeric vector
columnsa numeric vector
genotypesgentypes 50 + 5 checks
yieldyield - a numeric vector
Examples
1 2 3 4 5 6 7 8 9 10 | data(rowcoldata)
outp <- aug.rowcol(dataframe = rowcoldata, rows = "rows", columns = "columns",
genotypes = "genotypes", yield = "yield")
outp$ANOVA # analysis of variance
outp$Adjustment # adjusted values
# calculation of means
stab <- aggregate( yield ~ genotypes, data=rowcoldata, FUN= mean)
hist(stab$yield, col = "cadetblue", xlab = "Grain Yield",
main = "Mean yields from Augmented Yield Trial")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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