table_one: table_one

In fanstev1/fanetc: Descriptive table

table_one

Description

table_one

Usage

table_one(df, group, datadic = NULL, var_name, var_desp)

Arguments

df	Dataframe consisting of numeric, logical, and factor variables with or without a grouping variable
group	Name of the grouping variable.

Details

Main function that users interact. table_one calculate the selected summary statistics for continuous, logical, and factor variables per statitstical guidelines of the Annals of medicine. If a group variable is provided, then it will also assess the between-group difference.The input data frame should only consists of numeric, logical and factor variables. Factor variables with only two levels should be converted to logical variables. Date and datetime variables should be removed.

Value

The function returns a dataframe, rows of which are summary statistics depending on the variable types.

Examples

set.seed(0)
df<- data_frame(sex   = factor(c(rep("F", 90), rep("M", 900))),
                grade = factor(sample(c("A", "B", "C"), 990, replace= TRUE), c("A", "B", "C", "D")),
                income=  100 * (rnorm(990) + 5),
                dm= rbernoulli(990, p= .5),
                af= rbernoulli(990, p= .95)) %>%
  mutate(weight= if_else( sex=="F" & income>500, 3, 1),
         income= ifelse(income<456, NA, income),
         sex   = ifelse(runif(990)<.2, NA, sex),
         sex   = factor(sex, 1:2, labels = c("Female", "Male")),
         grade = ifelse(runif(990)<.25, NA, grade),
         grade   = factor(grade, 1:4, labels = c("A", "B", "C", "D")))

 datadic<- data.frame(var_name= c("sex", "grade", "income", "dm", "af"),
                      var_desp= c("Sex", "Grade", "Household income",
                                  "Presence of diabetes mellitus", "African American"),
                     stringsAsFactors = FALSE)

table_one(df, sex)
table_one(df, sex, datadic= datadic)

fanstev1/fanetc documentation built on April 17, 2025, 10:58 a.m.