anova_ind {metan} | R Documentation |
Within-environment analysis of variance
Description
Performs a within-environment analysis of variance in randomized complete block or alpha-lattice designs and returns values such as Mean Squares, p-values, coefficient of variation, heritability, and accuracy of selection.
Usage
anova_ind(.data, env, gen, rep, resp, block = NULL, verbose = TRUE)
Arguments
.data |
The dataset containing the columns related to Environments, Genotypes, replication/block and response variable(s). |
env |
The name of the column that contains the levels of the environments. The analysis of variance is computed for each level of this factor. |
gen |
The name of the column that contains the levels of the genotypes. |
rep |
The name of the column that contains the levels of the replications/blocks. |
resp |
The response variable(s). To analyze multiple variables in a
single procedure a vector of variables may be used. For example |
block |
Defaults to |
verbose |
Logical argument. If |
Value
A list where each element is the result for one variable containing (1) individual: A tidy tbl_df with the results of the individual analysis of variance with the following column names, and (2) MSRatio: The ratio between the higher and lower residual mean square. The following columns are returned, depending on the experimental design
-
For analysis in alpha-lattice designs:
-
MEAN
: The grand mean. -
DFG, DFCR, and DFIB_R, and DFE
: The degree of freedom for genotype, complete replicates, incomplete blocks within replicates, and error, respectively. -
MSG, MSCR, MSIB_R
: The mean squares for genotype, replicates, incomplete blocks within replicates, and error, respectively. -
FCG, FCR, FCIB_R
: The F-calculated for genotype, replicates and incomplete blocks within replicates, respectively. -
PFG, PFCR, PFIB_R
: The P-values for genotype, replicates and incomplete blocks within replicates, respectively. -
CV
: coefficient of variation. -
h2
: broad-sense heritability. -
AS
: accuracy of selection (square root ofh2
)
-
-
For analysis in randomized complete block design:
-
MEAN
: The grand mean. -
DFG, DFB, and DFE
: The degree of freedom for genotype blocks, and error, respectively. -
MSG, MSB, and MSE
: The mean squares for genotype blocks, and error, respectively. -
FCG and FCB
: The F-calculated for genotype and blocks, respectively. -
PFG and PFB
: The P-values for genotype and blocks, respectively. -
CV
: coefficient of variation. -
h2
: broad-sense heritability. -
AS
: accuracy of selection (square root ofh2
)
-
Author(s)
Tiago Olivoto tiagoolivoto@gmail.com
References
Patterson, H.D., and E.R. Williams. 1976. A new class of resolvable incomplete block designs. Biometrika 63:83-92.
Examples
library(metan)
# ANOVA for all variables in data
ind_an <- anova_ind(data_ge,
env = ENV,
gen = GEN,
rep = REP,
resp = everything())
# mean for each environment
get_model_data(ind_an)
# P-value for genotype effect
get_model_data(ind_an, "PFG")