anova_ind | R Documentation |
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.
anova_ind(.data, env, gen, rep, resp, block = NULL, verbose = TRUE)
.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 |
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 of h2
)
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 of h2
)
Tiago Olivoto tiagoolivoto@gmail.com
Patterson, H.D., and E.R. Williams. 1976. A new class of resolvable incomplete block designs. Biometrika 63:83-92.
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")
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