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kutils (version 1.69)

Project Management Tools

Description

Tools for data importation, recoding, and inspection that are used at the University of Kansas Center for Research Methods and Data Analysis. 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 1.67, the function semTable() is deprecated. We have proposed a new package of that name.

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Version

Install

install.packages('kutils')

Monthly Downloads

13,877

Version

1.69

License

GPL-2

Maintainer

Paul Johnson

Last Published

May 12th, 2019

Functions in kutils (1.69)

deleteBogusColumns

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

A variable is transformed in an indicated way

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

keyTemplateSPSS

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

Convert marked-up semTable structures to latex, html, or csv

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

Delete trailing slash

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

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

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

Prepare a table to compare fit measures of confirmatory factor analyses (CFA)

Create a backup version of a file by renaming it.

keyTemplateStata

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

Discern nesting pattern of SEM coefficients

importQualtrics

Import Qualtrics survey files, apply clean column names

Percentage tables for Likert Scale variables

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

Create a graphics device

deleteBogusRows

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

convert a key object from long to wide format

Removes redundant words from beginnings of character strings

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

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

A print method for kutable objects

How many stars would we need for this p value?

print method for likert tables

Move missing values to last row in long key block

dir.create.unique

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

Diagnose accuracy of result from applying variable key to data

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

Delete multiple slashes, replace with one

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)

Read file after deducing file type from suffix.

Save key as file after deducing type from suffix

Show difference between 2 keys

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.

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

Show variables, one column at a time.

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

Update packages, spot new dependencies, and install them

Convert a key object from wide to long format

Create Variable Label Template

Smoking, Happiness, and other survey responses

qualtricsBlockStack

Create meta data frame to align identical questions

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

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

Look for old (or new) names in variable key

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

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

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

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.

Convert nothing to R missing(NA).

Reverse the levels in a factor

Print a keyDiff object

apply a vector of replacements, one after the other.

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

Print out the result of mergeCheck function.

Test viewer for tex tables

Creates Structural Equation Modeling Tables

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

Reduce each in a vector of strings to a given length

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

Set missing values

An all.equal method for variable wide keys

colnamesReplace

Replace column names with new names from a named vector

Keep only alpha-numeric symbols

Create unique anonymous id values

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

all.equal.keylong

An all.equal method for variable long keys

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

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