Function reference • janitor

All functions

adorn_ns(): Add underlying Ns to a tabyl displaying percentages.

adorn_pct_formatting(): Format a data.frame of decimals as percentages.

adorn_percentages(): Convert a data.frame of counts to percentages.

adorn_rounding(): Round the numeric columns in a data.frame.

adorn_title(): Add column name to the top of a two-way tabyl.

adorn_totals(): Append a totals row and/or column to a data.frame.

as_tabyl(): Add tabyl attributes to a data.frame.

chisq.test(): Apply stats::chisq.test() to a two-way tabyl

clean_names(): Cleans names of an object (usually a data.frame).

compare_df_cols(): Generate a comparison of data.frames (or similar objects) that indicates if they will successfully bind together by rows.

compare_df_cols_same(): Do the the data.frames have the same columns & types?

convert_to_date() convert_to_datetime(): Convert many date and datetime formats as may be received from Microsoft Excel

describe_class(): Describe the class(es) of an object

excel_numeric_to_date(): Convert dates encoded as serial numbers to Date class.

find_header(): Find the header row in a data.frame

fisher.test(): Apply stats::fisher.test() to a two-way tabyl

get_dupes(): Get rows of a data.frame with identical values for the specified variables.

get_one_to_one(): Find the list of columns that have a 1:1 mapping to each other

janitor janitor-package: janitor

janitor_deprecated: Deprecated Functions in Package janitor

make_clean_names(): Cleans a vector of text, typically containing the names of an object.

mu_to_u: Constant to help map from mu to u

paste_skip_na(): Like paste(), but missing values are omitted

remove_constant(): Remove constant columns from a data.frame or matrix.

remove_empty(): Remove empty rows and/or columns from a data.frame or matrix.

round_half_up(): Round a numeric vector; halves will be rounded up, ala Microsoft Excel.

round_to_fraction(): Round to the nearest fraction of a specified denominator.

row_to_names(): Elevate a row to be the column names of a data.frame.

sas_numeric_to_date(): Convert a SAS date, time or date/time to an R object

signif_half_up(): Round a numeric vector to the specified number of significant digits; halves will be rounded up.

single_value(): Ensure that a vector has only a single value throughout.

tabyl(): Generate a frequency table (1-, 2-, or 3-way).

top_levels(): Generate a frequency table of a factor grouped into top-n, bottom-n, and all other levels.

untabyl(): Remove tabyl attributes from a data.frame.