Frequency table

This function computes a one or two way contingency table and creates a flextable from the result.

The function is largely inspired by "PROC FREQ" from "SAS" and was written with the intent to make it as compact as possible.

Usage

proc_freq(
  x,
  row = character(),
  col = character(),
  include.row_percent = TRUE,
  include.column_percent = TRUE,
  include.table_percent = TRUE,
  include.table_count = TRUE,
  weight = character(),
  ...
)

Arguments

x

a data.frame object containing variable(s) to use for counts.

row

characer column names for row

col

characer column names for column

include.row_percent

boolean whether to include the row percents; defaults to TRUE

include.column_percent

boolean whether to include the column percents; defaults to TRUE

include.table_percent

boolean whether to include the table percents; defaults to TRUE

include.table_count

boolean whether to include the table counts; defaults to TRUE

weight

character column name for weight

...

unused arguments

Examples

proc_freq(mtcars, "vs", "gear")
vs
gear
3
4
5
Total
0
Count
12 (37.5%)
2 (6.2%)
4 (12.5%)
18 (56.2%)
Mar. pct (1)
80.0% ; 66.7%
16.7% ; 11.1%
80.0% ; 22.2%
1
Count
3 (9.4%)
10 (31.2%)
1 (3.1%)
14 (43.8%)
Mar. pct
20.0% ; 21.4%
83.3% ; 71.4%
20.0% ; 7.1%
Total
Count
15 (46.9%)
12 (37.5%)
5 (15.6%)
32 (100.0%)
 (1) Columns and rows percentages
proc_freq(mtcars, "gear", "vs", weight = "wt")
gear
vs
0
1
Total
3
Count
49 (47.8%)
9 (8.9%)
58 (56.7%)
Mar. pct (1)
74.2% ; 84.3%
25.0% ; 15.7%
4
Count
5 (5.3%)
26 (25.2%)
31 (30.5%)
Mar. pct
8.3% ; 17.5%
70.9% ; 82.5%
5
Count
12 (11.3%)
2 (1.5%)
13 (12.8%)
Mar. pct
17.5% ; 88.5%
4.1% ; 11.5%
Total
Count
66 (64.5%)
37 (35.5%)
103 (100.0%)
 (1) Columns and rows percentages