utils_data_org | R Documentation |
Useful function for data organization before statistical analysis
add_seq_block()
: Add a column with sequential block numeration in
multi-environment data sets.
recode_factor()
: Recode a factor column. A sequential numbering (with
possible prefix) is used to identify each level.
df_to_selegen_54()
: Given a multi-environment data with environment,
genotype, and replication, format the data to be used in the Selegen software
(model 54).
add_seq_block(data, env, rep, new_factor = BLOCK, prefix = "", verbose = TRUE) recode_factor(data, factor, new_factor = CODE, prefix = "", verbose = TRUE) df_to_selegen_54(data, env, gen, rep, verbose = TRUE)
data |
A data frame. |
env |
The name of the column that contains the levels of the environments. |
rep |
The name of the column that contains the levels of the replications/blocks. |
new_factor |
The name of the new column created. |
prefix |
An optional prefix to bind with the new factor. |
verbose |
Logical argument. If |
factor |
A column to recode. |
gen |
The name of the column that contains the levels of the genotypes, that will be treated as random effect. |
Tiago Olivoto tiagoolivoto@gmail.com
Resende, M.D. V. 2016. Software Selegen-REML/BLUP: a useful tool for plant breeding. Crop Breed. Appl. Biotechnol. 16(4): 330–339. doi: 10.1590/1984-70332016v16n4a49.
library(metan) df_ge <- ge_simula(ngen = 2, nenv = 3, nrep = 2) %>% add_cols(ENV = c(rep("CACIQUE", 4), rep("FREDERICO", 4), rep("SANTA_MARIA", 4))) df_ge # Add sequential block numbering over environments add_seq_block(df_ge, ENV, REP, prefix = "B") # Recode the 'ENV' column to "ENV1", "ENV2", and so on. recode_factor(df_ge, factor = ENV, prefix = "ENV", new_factor = ENV_CODE) # Format the data to be used in the Selegen software (model 54) df <- df_to_selegen_54(df_ge, ENV, GEN, REP) %>% recode_factor(ENV, prefix = "E", new_factor = ENV)
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