clinpubr (version 1.1.1)

df_view_nonnum: Show non-numeric elements in a data frame

Description

Shows the non-numeric elements in a data frame. Only character columns are checked. Useful when setting the strategy to clean numeric values.

Usage

df_view_nonnum(
  df,
  max_count = 20,
  random_sample = FALSE,
  long_df = FALSE,
  subject_col = NULL,
  value_col = NULL
)

Value

A data frame of the non-numeric elements.

Arguments

df

A data frame.

max_count

An integer. The maximum number of elements to show for each column. If NULL or 0, show all elements, not recommended due to huge memory waste.

random_sample

A logical value. If TRUE, randomly sample the elements to show.

long_df

A logical value. If TRUE, the input df is provided in a long format.

subject_col

A character string. The name of the column that contains the subject identifier. Used when long_df is TRUE. If NULL, the subject column is assumed to be the first column.

value_col

A character string. The name of the column that contains the values. Used when long_df is TRUE. If NULL, the value column is assumed to be the second column.

Examples

df <- data.frame(
  x = c("1", "2", "3..3", "4", "6a"),
  y = c("1", "ss", "aa.a", "4", "xx"),
  z = c("1", "2", "3", "4", "6")
)
df_view_nonnum(df)