all_is_na | FUNCTION_TITLE |
all_not_na | FUNCTION_TITLE |
all_numeric_cols | FUNCTION_TITLE |
all_same_value | FUNCTION_TITLE |
any_is_na | FUNCTION_TITLE |
arrange_as_integer | Arrange by a Given Column as Integer |
arrange_by_nchar | Arrange a Column by Character Number |
arrange_dbl | Arrange by a Given Column as Double |
arrange_int | Arrange by a Column as Integer |
arrange_num | Arrange by a Given Column as Numeric |
arrange_sort | Sort a Dataframe |
blank_tibble | Create a Blank Tibble |
blank_to_na | FUNCTION_TITLE |
bring_to_front | Bring Columns to the Front |
call_mr_clean | General Dataframe Cleanup |
categorize | Categorize a Column |
categorize_ff | Create a Categorizing Function |
char_cols | FUNCTION_TITLE |
class_cols_ff | FUNCTION_TITLE |
classified_summary | FUNCTION_TITLE |
cleanup_colnames | Standardize Column Names This function takes a dataframe and... |
cleanup_listnames | Standardize List Names This function takes a dataframe and... |
coalesce_at | Coalesce 1+ Fields to an Existing Field |
coalesce_into | Coalesce 1+ Fields to a New Field |
coalesce_to | Coalesce 1+ Fields to a New Field |
col_class | FUNCTION_TITLE |
col_classes | FUNCTION_TITLE |
dated | Add the current date |
datetime_to_col | Add a Datetime Column to Position 1 |
date_to_col | Add a Date Column to Position 1 |
dbl_cols | FUNCTION_TITLE |
deselect_if_all_na | Deselect columns that are all NA |
deselect_if_all_same | Deselect columns that are all NA |
diffs | Diff Functions |
duplicated_cols | Names of Duplicate Columns |
empty_to_na | FUNCTION_TITLE |
filter_all_grepl | Filter at a variable that contains or doesn't contain a... |
filter_all_grepl_all | Filter all the variables for all matches to the grepl phrase |
filter_all_grepl_any | Filter at a variable that contains or doesn't contain a... |
filter_at_grepl | Filter at a variable that contains or doesn't contain a... |
filter_at_grepl_all | Filter at a variable that contains or doesn't contain a... |
filter_at_grepl_any | Filter at a variable that contains or doesn't contain a... |
filter_by_words_in_str | Loop a filter over words in a string This function splits a... |
filter_by_words_in_str_before_zero | Loop a filter over words in a string until there are zero... |
filter_first | Filter for the first row |
filter_first_row | Filter for the first row |
filter_for | Filter a column for a set of values |
filter_for_all | Filter a column for a set of values |
filter_for_any | Filter a column for a set of values |
filter_for_date | Filters a dataframe for a date in YYYY-mm-dd format in a... |
filter_for_today | Filters a dataframe for today's date in a timestamp column |
filter_row_n | Filter for a row n |
format_colnames | Format Column Names |
format_names | Standardize List Names |
grep_blank | FUNCTION_TITLE |
grep_empty | FUNCTION_TITLE |
grep_na_str | FUNCTION_TITLE |
group_by_aggregate | Aggregate Function |
group_by_unique_aggregate | Aggregate Function |
grouped_paste | Aggregate Function |
hello | Hello, World! |
int_cols | FUNCTION_TITLE |
lgl_cols | FUNCTION_TITLE |
list_to_tibble | List to Tibble |
loadSummaryFnLibrary | Load Summary Function Library |
make_identifier | Make a unique id |
map_names_set | Map and set_names function from purrr package in tandem |
mutate1 | Mutate a column to position 1 |
mutate_all_as_char | General Dataframe Cleanup Convert all columns to character... |
mutate_all_blank_to_na | Replace "" with <NA> |
mutate_all_char | Mutate All Columns to Character |
mutate_all_na_character | Normalize Character Column Values to 'NA_character_" |
mutate_all_na_str_to_na | Mutate all "NA" to <NA> |
mutate_all_na_to_blank | Substitute all true NA values in a dataframe as blank |
mutate_all_trimws | Trim Whitespace of all Character Columns |
mutate_as_mdy | Mutate given cols into a mdy date |
mutate_as_ymd | Mutate given columns to ymd date |
mutate_if_not_exist | Adds a column if it doesn't exist in the dataframe |
mutate_primary_key | Adds primary key to dataframe in position 1 |
mutate_rowsum | Get the sum of the rows base on the designated columns |
mutate_timestamp_column | Add timestamp to the entire dataframe at position 1 with the... |
mutate_to_integer | Mutate cols to integer data type |
na_str_to_na | FUNCTION_TITLE |
normalize_all_to_na | Normalize a set of values to a true NA |
normalize_at_to_na | Normalize a set of values to a true NA |
normalize_na | Normalize NA values |
num_cols | FUNCTION_TITLE |
observation_count | Get the number of times a row appears in a dataframe |
parse_date_col | Parse a Date Column |
parse_date_var | Parse a Date Var |
pipe | Pipe operator |
randomize | Randomize a Dataframe |
recode_boolean | Recode a values to boolean |
recode_value | Recode a values to another |
release | Release all the columns in a dataframe into vectors of the... |
release_df | Release all the columns in a dataframe into vectors of the... |
rename_all_prefix | Rename all columns with a prefix |
rename_all_remove | Replace a pattern in all column names |
rename_all_replace | Replace a pattern in all column names |
rename_all_suffix | Rename all with suffix |
rename_all_with_prefix | Rename all columns with a prefix |
rename_all_with_replace | Replace a pattern in all column names |
rename_all_with_suffix | Rename all with suffix |
rename_as | FUNCTION_TITLE |
rename_at_prefix | Rename all columns with a prefix |
rename_at_remove | Replace a pattern in all column names |
rename_at_replace | Replace a pattern in all column names |
rename_at_suffix | Rename all with suffix |
rename_fields | Rename Fields with a Character Vector |
rm_multibyte_chars | Remove all multibyte characters in the dataframe |
rubix | Rubix: A package for doing gymnastics with the Tidyverse... |
sample_all_or_n | Sample a dataframe for n obs and returns full dataframe if n... |
sample_n_or_bust | Sample a dataframe for n obs and returns full dataframe if n... |
select_distinct | Selects columns and get the distinct values back |
select_if_all_na | Select columns that are all NA |
send_to_back | Send columns to back |
setdiff_col_match | Set Difference between Overlapping Columns |
setdiff_nrow | Number of Different Rows between 2 Dataframes |
slice_first_row | Slice first row |
split_by | Split a Dataframe |
split_deselect | Split a Dataframe |
stamped | Create Timestamp |
summarize_cardinality | Summarize One to Many Relationships |
summarize_functions | Summarize Functions |
summarize_grouped_n | Summarize groups by count |
summarize_max | Summarizes each column with max value |
summarize_numeric | Summarize Numeric Columns with Standard Summary Functions |
summarize_values | Summarize the counts of values in columns |
summarize_var_group | Summarize a variable by the standard summary functions |
summarize_variables | Summarize a Variable |
tibble_to_list | Dataframe to a List of Vectors |
to_last_position | Bring a Column to the Last Position |
to_position_1 | Bring a Column to Position 1 |
to_position_n | Bring a Column to the Last Position |
value_count | Value Count for a Dataframe |
vector_to_tibble | Convert a Vector to a Tibble |
wrapper_args | Tidyverse Wrapper Arguments |
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