percentiles_table {dataframeexplorer} | R Documentation |
Generate percentiles for entire dataframe
Description
This function generates percentiles for all numeric columns in the dataframe. This will come handy while understanding the distribution of data and in outlier treatment.
Usage
percentiles_table(
dataset,
output_filename = "",
percentiles = c(0:10, seq(10, 90, 10), seq(25, 75, 25), 91:100),
format_width = TRUE,
sd_required = TRUE,
min_required = TRUE,
max_required = TRUE,
mean_required = TRUE,
missing_percentage_required = TRUE,
class_required = TRUE
)
Arguments
dataset |
A data.frame |
output_filename |
Name of the output excel file (should end in ".xlsx") Strongly advised to pass this parameter, else the function's default is "percentiles_table_<system_time>.xlsx" |
percentiles |
numeric vector of probabilities with values in [0,100] |
format_width |
Boolean input indicating if output excel cells' column width need to be formatted to "auto" |
sd_required |
Boolean input indicating if standard deviation column needs to be present in output excel |
min_required |
Boolean input indicating if minimum column needs to be present in output excel |
max_required |
Boolean input indicating if maximum column needs to be present in output excel |
mean_required |
Boolean input indicating if mean column needs to be present in output excel |
missing_percentage_required |
Boolean input indicating if missing percentage column needs to be present in output excel |
class_required |
Boolean input indicating if datatype column should be the last column in output excel |
Value
Does not return to calling function, writes to file system rather
Examples
## Not run:
percentiles_table(mtcars, output_filename = "percentiles_table_mtcars.xlsx")
percentiles_table(iris, output_filename = "C/Users/Desktop/percentiles_table_iris.xlsx")
## End(Not run)