Flat (proportional) tables
This function creates a labelled flat table or flat proportional (marginal) table.
flat_table(
data,
...,
margin = c("counts", "cell", "row", "col"),
digits = 2,
show.values = FALSE,
weights = NULL
)data |
A data frame. May also be a grouped data frame (see 'Note' and 'Examples'). |
... |
One or more variables of |
margin |
Specify the table margin that should be computed for proportional
tables. By default, counts are printed. Use |
digits |
Numeric; for proportional tables, |
show.values |
Logical, if |
weights |
Bare name, or name as string, of a variable in |
An object of class ftable.
data may also be a grouped data frame (see group_by)
with up to two grouping variables. Cross tables are created for each subgroup then.
frq for simple frequency table of labelled vectors.
data(efc) # flat table with counts flat_table(efc, e42dep, c172code, e16sex) # flat table with proportions flat_table(efc, e42dep, c172code, e16sex, margin = "row") # flat table from grouped data frame. You need to select # the grouping variables and at least two more variables for # cross tabulation. library(dplyr) efc %>% group_by(e16sex) %>% select(e16sex, c172code, e42dep) %>% flat_table() efc %>% group_by(e16sex, e42dep) %>% select(e16sex, e42dep, c172code, n4pstu) %>% flat_table() # now it gets weird... efc %>% group_by(e16sex, e42dep) %>% select(e16sex, e42dep, c172code, n4pstu, c161sex) %>% flat_table()
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