R: Non-Astonishing Results in R

# Non-Astonishing Results in R

## Documentation for package ‘hablar’ version 0.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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