TableOfMeans | R Documentation |
TableOfMeans
Compares mean of one variable by two factors.
TableOfMeans(
outcome,
row,
column,
subset = NULL,
weights = NULL,
correction = "Table FDR",
robust.se = FALSE,
show.labels = TRUE,
p.cutoff = 0.05,
...
)
outcome |
The outcome variable. |
row |
The predictor to show in the rows. Used to filter the data. |
column |
The predictor to show in the columns. |
subset |
An optional vector specifying a subset of observations to be
used in the fitting process, or, the name of a variable in |
weights |
An optional vector of sampling weights, or, the name or, the
name of a variable in |
correction |
The false discovery rate correction to be applied when computing the corrected p-values.
Defaults to applying the False Discovery Rate correction to all the cells in the table ( |
robust.se |
Computes standard errors that are robust to violations of the assumption of constant variance. This parameter is ignored if weights are applied (as weights already employ a sandwich estimator). |
show.labels |
Show labels instead of variable names |
p.cutoff |
The alpha level to be used in testing. |
... |
Parameters to pass to |
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