Non-Astonishing Results in R
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Documentation for package ‘hablar’ version 0.3.2
Help Pages
A B C D F G I L M N R S T V W Z misc
-- A --
| Always | Convert data type of columns |
| as_reliable | Reliable conversion to another data type |
| as_reliable_dte | Reliable conversion to another data type |
| as_reliable_dtm | Reliable conversion to another data type |
| as_reliable_int | Reliable conversion to another data type |
| as_reliable_lgl | Reliable conversion to another data type |
| as_reliable_num | Reliable conversion to another data type |
-- B --
| before | Convert data type of columns |
-- C --
| character | Convert data type of columns |
| check_complete_set | Special checks |
| check_df | Special checks |
| check_duplicates | Special checks |
| check_inf | Special checks |
| check_irrational | Special checks |
| check_na | Special checks |
| check_nan | Special checks |
| chr | Convert data type of columns |
| classes | Convert data type of columns |
| columns | Convert data type of columns |
| console | Convert data type of columns |
| conversion | Convert data type of columns |
| convert | Convert data type of columns |
| converts | Convert data type of columns |
| could_chr_be_dte | Tests is a vector could be of another data type |
| could_chr_be_dtm | Tests is a vector could be of another data type |
| could_chr_be_int | Tests is a vector could be of another data type |
| could_chr_be_num | Tests is a vector could be of another data type |
| could_dtm_be_dte | Tests is a vector could be of another data type |
| could_num_be_int | Tests is a vector could be of another data type |
| could_this_be_that | Tests is a vector could be of another data type |
| create_dummy | Create a simple dummy |
| cummean_ | cumulative_ |
| cumsum_ | cumulative_ |
| cumulative_ | cumulative_ |
| cum_unique | cumulative_ |
| cum_unique_ | cumulative_ |
-- D --
| dbl | Convert data type of columns |
| dte | Convert data type of columns |
| dtm | Convert data type of columns |
| dummy | Create a simple dummy |
| dummy_ | Create a simple dummy |
-- F --
| factors | Convert data type of columns |
| fct | Convert data type of columns |
| find_duplicates | Special filters |
| find_inf | Special filters |
| find_in_df | Special filters |
| find_irrational | Special filters |
| find_na | Special filters |
| find_nan | Special filters |
| first_ | Combine aggregate functions and s |
| first_non_na | Combine aggregate functions and s |
| for | Convert data type of columns |
| functions. | Convert data type of columns |
-- G --
| given | given |
| given_ | given |
-- I --
| if_else_ | if_this_else_that_ |
| if_inf | replacemnt and specials |
| if_na | replacemnt and specials |
| if_nan | replacemnt and specials |
| if_not_na | replacemnt and specials |
| if_zero | replacemnt and specials |
| in | Convert data type of columns |
| information. | Convert data type of columns |
| inf_if | replacemnt and specials |
| int | Convert data type of columns |
-- L --
| last_ | Combine aggregate functions and s |
| lgl | Convert data type of columns |
-- M --
| math ignore NA in math funs | Ignore NA in math |
| max_ | Combine aggregate functions and s |
| mean_ | Combine aggregate functions and s |
| median_ | Combine aggregate functions and s |
| min_ | Combine aggregate functions and s |
| more | Convert data type of columns |
-- N --
| nan_if | replacemnt and specials |
| na_if | replacemnt and specials |
| new | Convert data type of columns |
| num | Convert data type of columns |
| n_unique | n_unique |
| n_unique count unique elements | n_unique |
| n_unique_ | n_unique |
-- R --
| rationalize | Only allow rational values in numeric vectors 'rationalize' transforms all numeric elements to be rational values or NA, thus removes all 'NaN,Inf' and replaces them with 'NA'. |
| rationalize.data.frame | Only allow rational values in numeric vectors 'rationalize' transforms all numeric elements to be rational values or NA, thus removes all 'NaN,Inf' and replaces them with 'NA'. |
| rationalize.default | Only allow rational values in numeric vectors 'rationalize' transforms all numeric elements to be rational values or NA, thus removes all 'NaN,Inf' and replaces them with 'NA'. |
| rationalize.numeric | Only allow rational values in numeric vectors 'rationalize' transforms all numeric elements to be rational values or NA, thus removes all 'NaN,Inf' and replaces them with 'NA'. |
| repeat_df | repeat_df |
| replacers | replacemnt and specials |
| retype | Return simple data types |
| retype.data.frame | Return simple data types |
| retype.Date | Return simple data types |
| retype.default | Return simple data types |
| retype.integer | Return simple data types |
| retype.list | Return simple data types |
| retype.logical | Return simple data types |
| retype.numeric | Return simple data types |
| retype.POSIXct | Return simple data types |
-- S --
| s | Make vector shorter and simpler |
| scoping | Convert data type of columns |
| sd_ | Combine aggregate functions and s |
| set_wd_to_script_path | Set wd to script path |
| squeeze | Combine aggregate functions and s |
| squeeze_ | Combine aggregate functions and s |
| sum_ | Combine aggregate functions and s |
-- T --
| the | Convert data type of columns |
| this_date | this_date |
| this_day | this_date |
| this_month | this_date |
| this_year | this_date |
| through | Convert data type of columns |
| to | Convert data type of columns |
| Type | Convert data type of columns |
-- V --
| var_ | Combine aggregate functions and s |
-- W --
| wrapper - s and summary funs | Combine aggregate functions and s |
-- Z --
| zero_if | replacemnt and specials |
-- misc --
| %minus_% | Ignore NA in math |
| %plus_% | Ignore NA in math |
| \code{convert} | Convert data type of columns |
| \code{vignette("convert")} | Convert data type of columns |