aov.f: ANOVA for a factorial experiment
In reyzaguirre/st4gi: Statistical tools for genetic improvement
aov.f R Documentation
ANOVA for a factorial experiment
Description
Fit an analysis of variance model for a factorial experiment with a CRD or RCBD.
Usage
aov.f(dfr, y, factors, rep = NULL, maxp = 0.1)
Arguments
dfr
The name of the data frame.
y
The name of the column for the variable to analyze.
factors
The names of the columns that identify the factors.
rep
The name of the column that identifies the replications or blocks,
default is NULL for a CRD.
maxp
Maximum allowed proportion of missing values to estimate, default is 10%.
Value
It returns the ANOVA table.
Author(s)
Raul Eyzaguirre.
Examples
aov.f(asc, "asc.dw", c("geno", "treat"))
reyzaguirre/st4gi documentation built on March 29, 2025, 10:38 p.m.
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| aov.f | R Documentation |
ANOVA for a factorial experiment
Description
Fit an analysis of variance model for a factorial experiment with a CRD or RCBD.
Usage
aov.f(dfr, y, factors, rep = NULL, maxp = 0.1)
Arguments
dfr |
The name of the data frame. |
y |
The name of the column for the variable to analyze. |
factors |
The names of the columns that identify the factors. |
rep |
The name of the column that identifies the replications or blocks,
default is |
maxp |
Maximum allowed proportion of missing values to estimate, default is 10%. |
Value
It returns the ANOVA table.
Author(s)
Raul Eyzaguirre.
Examples
aov.f(asc, "asc.dw", c("geno", "treat"))
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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