Include all columns of a dataframe.
This constructs a formula object for all the columns of a dataframe.
All(df, numeric=TRUE, character=FALSE, logical=FALSE, factor=FALSE, complex=FALSE, raw=FALSE, other=FALSE, texify=getOption("tables.texify", FALSE))
df |
The dataframe in which to find the columns. |
numeric, character, logical, factor, complex, raw |
Whether to include columns of specified types. See the Details below. |
other |
Whether to include columns that match none of the previous types. |
texify |
Whether to escape LaTeX special characters in column names. |
This function constructs a formula from the columns of a dataframe.
By default, only numeric columns are included. The arguments
numeric
, character
, logical
, factor
, complex
and raw
control the inclusion of columns of the corresponding types.
The argument other
controls inclusion of any other columns.
If these arguments are TRUE
, such columns will be included in
the formula.
If a function (or the name of a function given as a character string)
is passed, such columns will be transformed by the function before
inclusion. For example, All(df, factor=as.character)
will
convert all factor columns into their character representation for
inclusion.
In other cases, the columns will be skipped.
Language to insert into the table formula to achieve the desired table.
# Show mean and sd of all numeric columns in the iris data tabular( Species ~ All(iris)*(mean + sd), data=iris )
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