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kutils (version 1.73)

Project Management Tools

Description

Tools for data importation, recoding, and inspection. There are functions to create new project folders, R code templates, create uniquely named output directories, and to quickly obtain a visual summary for each variable in a data frame. The main feature here is the systematic implementation of the "variable key" framework for data importation and recoding. We are eager to have community feedback about the variable key and the vignette about it. In version 1.7, the function 'semTable' is removed. It was deprecated since 1.67. That is provided in a separate package, 'semTable'.

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Version

Install

install.packages('kutils')

Monthly Downloads

12,573

Version

1.73

License

GPL-2

Maintainer

Paul Johnson

Last Published

September 17th, 2023

Functions in kutils (1.73)

Removes redundant words from beginnings of character strings

Create a graphics device

deleteBogusRows

Remove rows in which the proportion of missing data exceeds a threshold.

dir.create.unique

Create a uniquely named directory. Appends number & optionally date to directory name.

Text that is to be included as content in documents is cleaned (escaped) to prevent errors

Delete multiple slashes, replace with one

deleteBogusColumns

Remove columns in which the proportion of missing data exceeds a threshold.

Create a backup version of a file by renaming it.

Delete trailing slash

importQualtrics

Import Qualtrics survey files, apply clean column names

Check if values are R NA symbol or any one of the na.strings elements

Apply variable key to data frame (generate recoded data frame)

Look for old (or new) names in variable key

Create project directories, initialize a git repo, create README.md ChangeLog, and R template file in R directory

Import/validate a key object or import/validate a key from a file.

is.data.frame.simple

Check if a data frame is a simple collection of columns (no lists or matrices within)

Check a key for consistency of names, values with classes.

Diagnose accuracy of result from applying variable key to data

Show difference between 2 keys

Read file after deducing file type from suffix.

Percentage tables for Likert Scale variables

Update a key in light of a new data frame (add variables and values)

Homogenize class values and create a long key by pooling variable keys.

convert a key object from long to wide format

Save key as file after deducing type from suffix

Create variable key template (in memory or in a file)

keyTemplateStata

Import a Stata (version 12 or lower) file, create a key representing the numeric -> factor transition

Compares keys from different data sets; finds differences classes of variables. This used to check for similarity of keys from various data sets, one precursor to either combining the keys or merging the data sets themselves.

keyTemplateSPSS

Import an SPSS file, create a key representing the numeric -> factor transition

Convert nothing to R missing(NA).

Sort key so that non missing values are first in the value vector.

First draft of function to diagnose problems in merges and key variables

Insert 0's in the front of existing digits or characters so that all elements of a vector have the same number of characters.

Print a keyDiff object

Use new information to update a vector. Similar in concept to R's modify list

apply a vector of replacements, one after the other.

Smoking, Happiness, and other survey responses

Convert the variable key into a list of long keys, one for each variable.

Show variables, one at a time, QUICKLY and EASILY.

Remove elements if they are in a target vector, possibly replacing with NA

Print out the result of mergeCheck function.

print method for likert tables

How many stars would we need for this p value?

Reduce each in a vector of strings to a given length

keyFactors: private function that does work for keyTemplateSPSS and key template Stata

If a numeric variable has only integer values, then make it an integer.

Reverse the levels in a factor

qualtricsBlockStack

Create meta data frame to align identical questions

Move missing values to last row in long key block

Insert "\n" after the k'th character in a string. This IS vectorized, so can receive just one or many character strings in a vector.

Write CSV files with quotes same as MS Excel 2013 or newer

Convert a key object from wide to long format

Cuts a string at a specified linewidth, trying to align cut with a separator

Convert leading or trailing white space and tab characters to nothing.

Update packages, spot new dependencies, and install them

Create Variable Label Template

colnamesReplace

Replace column names with new names from a named vector

Compare observed values with the values listed (presumably from a variable key).

Check if values can be safely coerced without introduction of missing values

Keep only alpha-numeric symbols

An all.equal method for variable wide keys

Create unique anonymous id values

Set missing values

A variable is transformed in an indicated way

Check and Clean data.frame for usage with variable key functions

all.equal.keylong

An all.equal method for variable long keys