augmentedRCBD.bulk {augmentedRCBD}  R Documentation 
augmentedRCBD.bulk
is a wrapper around the functions
augmentedRCBD
, describe.augmentedRCBD
,
freqdist.augmentedRCBD
and gva.augmentedRCBD
. It will carry out
these analyses for multiple traits/characters from the input data as a data
frame object.
augmentedRCBD.bulk( data, block, treatment, traits, checks = NULL, alpha = 0.05, describe = TRUE, freqdist = TRUE, gva = TRUE, check.col = "red", console = TRUE )
data 
The data as a data frame object. The data frame should possess columns specifying the block, treatment and multiple traits/characters. 
block 
Name of column specifying the blocks in the design as a character string. 
treatment 
Name of column specifying the treatments as a character string. 
traits 
Name of columns specifying the multiple traits/characters as a character vector. 
checks 
Character vector of the checks present in 
alpha 
Type I error probability (Significance level) to be used for multiple comparisons. 
describe 
If 
freqdist 
If 
gva 
If 
check.col 
The colour(s) to be used to highlight check values in the
plot as a character vector. Must be valid colour values in R (named
colours, hexadecimal representation, index of colours [ 
console 
If 
A list of class augmentedRCBD.bulk
containing the following
components:

Details of the augmented design used and the traits/characters. 

A data frame of mean sum of squares of the specified traits from treatment adjusted ANOVA. 

A data frame of mean sum of squares of the specified traits from block adjusted ANOVA 

A data frame of the adjusted means of the treatments for the specified traits. 

A list of data frames with check statistics such as number of replications, standard error, minimum and maximum value 

Type I error probability (Significance level) used. 

A data frame of standard error of difference between various combinations for the specified traits. 

A data frame of critical difference (at the specified alpha) between various combinations for the specified traits. 

A data frame of the overall adjusted mean for the specified traits. 

A data frame of the coefficient of variance for the specified traits. 

A data frame of descriptive statistics for the specified traits. 

A list of ggplot2 plot grobs of the frequency distribution plots. 

A data frame of genetic variability statistics for the specified traits. 

A list of three ggplot2 objects with the plots for (a) Phenotypic and Genotypic CV, (b) Broad sense heritability and (c) Genetic advance over mean 

A list of warning messages (if any) captured during model fitting and frequency distribution plotting. 
In this case treatment comparisons/grouping by least significant
difference or Tukey's honest significant difference method is not computed.
Also the output object size is reduced using the simplify = TRUE
argument in the augmentedRCBD
function.
augmentedRCBD
,
describe.augmentedRCBD
,
freqdist.augmentedRCBD
,
gva.augmentedRCBD
# Example data blk < c(rep(1,7),rep(2,6),rep(3,7)) trt < c(1, 2, 3, 4, 7, 11, 12, 1, 2, 3, 4, 5, 9, 1, 2, 3, 4, 8, 6, 10) y1 < c(92, 79, 87, 81, 96, 89, 82, 79, 81, 81, 91, 79, 78, 83, 77, 78, 78, 70, 75, 74) y2 < c(258, 224, 238, 278, 347, 300, 289, 260, 220, 237, 227, 281, 311, 250, 240, 268, 287, 226, 395, 450) dataf < data.frame(blk, trt, y1, y2) bout < augmentedRCBD.bulk(data = dataf, block = "blk", treatment = "trt", traits = c("y1", "y2"), checks = NULL, alpha = 0.05, describe = TRUE, freqdist = TRUE, gva = TRUE, check.col = c("brown", "darkcyan", "forestgreen", "purple"), console = TRUE) # Frequency distribution plots lapply(bout$`Frequency distribution`, plot) # GVA plots bout$`GVA plots`