clean_Date()
and clean_POSIXct()
: allow argument max_date
to be the same length as x
digits
in format()
digits = 0
for format()
clean_Date()
now supports month-year format for which it sets the day as 1:
r
clean_Date("March")
#> (assuming format 'mmmm')
#> [1] "2021-03-01"
clean_Date("March 2020")
#> (assuming format 'mmmm yyyy')
#> [1] "2020-03-01"
freq()
now contains a wt
argument to set the weights. The default (NULL
) yields the old behaviour.clean_POSIXct()
that led to the warning Incompatible methods ("Ops.POSIXt", "Ops.Date") for ">"
format_p_value()
to format raw p values according to the APA guidelineclean_Date()
now works with POSIX standards:
r
clean_Date("2020-11-12 12:24:12")
clean_Date(c("2020-11-12 12:24:12", "2020-11-13"), guess_each = TRUE)
as_symbol = TRUE
to print/format with currency symbolsformat_names()
to quickly and easily change names of data.frame
columns, list
s or character
vectors.
```r
df <- data.frame(old.name = "test1", value = "test2")
format_names(df, snake_case = TRUE)
format_names(df, camelCase = TRUE)
format_names(df, c(old.name = "new_name", value = "measurement"))library(dplyr) starwars %>% format_names(camelCase = TRUE) %>% # column names mutate(name = name %>% format_names(snake_case = TRUE)) # values in column ```
na_replace()
to replace NA
values in any data type. Its default replacement value is dependent on the data type that is given as input: 0
for numeric values and class matrix
, FALSE
for class logical
, today for class Date
, and ""
otherwise.
```r
na_replace(c(1, 2, NA, NA))
#> [1] 1 2 0 0
na_replace(c(1, 2, NA, NA), replacement = -1)
#> [1] 1 2 -1 -1library(dplyr) starwars %>% na_replace(hair_color) # only replace NAs in this column
starwars %>% na_replace() # replace NAs in all columns ("" for hair_color and 0 for birth_year) ``` * Support for the upcoming R 4.1.0
rdate()
to generate random dates (in analogy to e.g. runif()
)freq()
):na.rm
hist()
format()
on a frequency tableas.vector()
, which also supports dates
r
library(dplyr)
library(cleaner)
data.frame(dates = rdate(100)) %>%
freq(dates) %>%
as.vector()
clean_Date()
not accepting already POSIX
or Date
input clean_Date(..., guess_each = TRUE)
it now accepts the format
parameter as a vector of options to let it choose fromclean_Date()
and clean_POSIXct
gained a parameter max_date
(that defaults to today), so that they will never return years beyond a specified date:
```r
# old
clean_Date("23-01-67")
#> [1] "2067-01-23"# new
clean_Date("23-01-67")
#> [1] "1967-01-23"
#> Warning: Some years were decreased by 100 to not exceed today.
#> Use clean_Date(..., max_date = Inf) to prevent this.
clean_Date("23-01-67", max_date = Inf)
#> [1] "2067-01-23"
``
* Cleaned all code using the
lintr` package
percentage
class into the percentage()
function, i.e. percentage(as.percentage(1))
would failas.percentage(2.5e-14)
clean_double()
and clean_integer()
median()
in percentagesNA
in percentages would not be formatted correctlycleaner
as.percentage()
and clean_percentage()
. They also come with 'S3 methods' for print
, format
, sum
, min
and max
.clean_numeric()
, clean_percentage()
and clean_currency()
clean_character()
on R v3.5 and loweras.currency()
and clean_currency()
. They also come with 'S3 methods' for print
, format
, sum
, min
and max
.clean_POSIXct()
to clean date/time objectstop_freq()
now correctly selects bottoms items using negative a number for nfreq.default()
is now exported for use in other packagesstats::quantile()
)clean_character()
, it also keeps in-between spaces nowclean_numeric()
now supports currencyfreq()
where the precentage of NAs in the header was not calculated rightAdd the following code to your website.
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