Package: DTwrappers2 0.0.3

DTwrappers2: Extensions of 'DTwrappers'

Offers functionality which provides methods for data analyses and cleaning that can be flexibly applied across multiple variables and in groups. These include cleaning accidental text, contingent calculations, counting missing data, and building summarizations of the data.

Authors:David Shilane [aut], Mayur Bansal [ctb], Srivastav Budugutta [ctb, cre]

DTwrappers2_0.0.3.tar.gz
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DTwrappers2.pdf |DTwrappers2.html✨
DTwrappers2/json (API)

# Install 'DTwrappers2' in R:

install.packages('DTwrappers2', repos = c('https://srivastavbudugutta.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/srivastavbudugutta/dtwrappers2/issues

On CRAN:

35 exports 1.02 score 2 dependencies 5 scripts 253 downloads

Last updated 3 months agofrom:4f73a5e342. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 15 2024
R-4.5-win	OK	Sep 15 2024
R-4.5-linux	OK	Sep 15 2024
R-4.4-win	OK	Sep 15 2024
R-4.4-mac	OK	Sep 15 2024
R-4.3-win	OK	Sep 15 2024
R-4.3-mac	OK	Sep 15 2024

Exports:character.coercion.culprits dt.character.coercion.culprits dt.format.numerics dt.max.numerics dt.mean.measured dt.mean.missing dt.mean.numerics dt.median.numerics dt.min.numerics dt.quantile.numerics dt.remove.erroneous.characters dt.round.exactly dt.round.numerics dt.sd.numerics dt.summarize dt.total.measured dt.total.missing dt.trimws.character dt.var.numerics format.numerics lower.quartile max.numerics mean.measured mean.missing mean.numerics median.numerics min.numerics remove.erroneous.characters round_exactly round_exactly_one_value round.numerics sd.numerics total.measured total.missing var.numerics

Dependencies:data.table DTwrappers

Introduction to DTwrappers2

Rendered fromIntroduction_to_DTwrappers2.Rmdusingknitr::knitron Sep 15 2024.

Last update: 2024-06-17
Started: 2024-06-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
character.coercion.culprits This function identifies which character values in a vector are preventing it from being converted to a numeric vector.	character.coercion.culprits
dt.character.coercion.culprits	dt.character.coercion.culprits
dt.format.numerics	dt.format.numerics
dt.max.numerics	dt.max.numerics
dt.mean.measured	dt.mean.measured
dt.mean.missing	dt.mean.missing
dt.mean.numerics	dt.mean.numerics
dt.median.numerics	dt.median.numerics
dt.min.numerics	dt.min.numerics
dt.quantile.numerics	dt.quantile.numerics
dt.remove.erroneous.characters	dt.remove.erroneous.characters
dt.round.exactly	dt.round.exactly
dt.round.numerics	dt.round.numerics
dt.sd.numerics	dt.sd.numerics
dt.summarize	dt.summarize
dt.total.measured	dt.total.measured
dt.total.missing	dt.total.missing
dt.trimws.character	dt.trimws.character
dt.var.numerics	dt.var.numerics
This function formats numeric values with specified rounding and marking options.	format.numerics
lower.quartile	lower.quartile
max.numerics	max.numerics
mean.measured	mean.measured
Calculate the Proportion of NA Values	mean.missing
mean.numerics	mean.numerics
median.numerics	median.numerics
min.numerics	min.numerics
remove.erroneous.characters	remove.erroneous.characters
round_exactly	round_exactly
round_exactly_one_value This internal function rounds exactly one value to the specified number of digits.	round_exactly_one_value
round.numerics	round.numerics
sd.numerics	sd.numerics
total.measured	total.measured
total.missing	total.missing
var.numerics	var.numerics