Light

jazznbass / scaledic Goto Github PK

View Code? Open in Web Editor NEW

1.0 1.0 1.0 6.8 MB

An R package for adding scaling information to variables in data frames

Home Page: https://jazznbass.github.io/scaledic/

License: GNU General Public License v3.0

R 41.12% HTML 58.88%

scaledic's Introduction

scaledic - A dictionary for scales

Have you ever thought it might be helpful to have additional information about a variable in a data frame, giving you a longer description, the scale it belongs to, whether it has reverse coding, valid values, value labels? And wouldn't it be nice to be able to check for typos, impute missing values, create scale scores, switch between long and short labels in a graph, etc. with just a few simple commands in R?

This is what scaledic aims to do. scaledic is an R package for extending data frames and tibbles with several scale-related attributes. It is designed to implement (psychometric) scale information for items in a data frame. This includes values, labels, subscales, weights, etc. A number of functions help to organise, extract, replace and impute missing values, find typos, build scale scores etc.

At the moment, scaledic already works and is up to the task, but is still in an experimental stage where I may change the basic syntax. The documentation is also poor. I am working on that.

Basically scaledic loads a dictionary file containing all relevant information and applies it to a data frame. Each variable corresponding to the ones described in the dictionary gets a new attribute dic which contains a list of all dictionary values for that variable.

The package contains a sample data frame ITRF with 4767 participants who filled in the integrated teacher report form questionnaire. dic_ITRF is a corresponding dictionary file for the ITRF (as the original data were collected in Germany, the dictionary file also has the German item labels).

scaledic's People

Contributors

Stargazers

Watchers

Forkers

jannisbosch

scaledic's Issues

labelled data from other packages

There are several packages for labelled data (e.g. haven, labelled).
scaledic could include some functions to translate scaledic labels to these other formats and vice versa.

new function select_by_dic()

A generalization of select_scale() which could select a set of variables by any dic parameter.

Clean up functions and function names

There are a lot of functions which effects have been implemented into other functions.
Some functions are obsolete.
scaledic needs a definitive and systematic set of functions.

Check for data type of variables

The check_values function should report variables that are have the wrong data type (eg. an integer variable with datatype charcter )

Better names for dic parameters

Parameters of dictionary are all in capitals which should be changed.
Additionally parameter TYPE (for scale mode) should is not specific enough.
mode or level might be more appropriate

rename names2label()

This is a bad chosen function name.
Maybe rename_by_dic() or redefine() ?

Variable subscale classes

Instead of just fixed subscale and subscale_2 dic attributes, new attributes should be set with in a dic file just by naming a column "subscale_" and a number after that.
So, if i set "subscale_3" and "subscale_4" these attributes will be set automatically in the dic attribute list and should be implemented in a all functions.

get_dic does not get score variables

Logical vectors for get_index and select_scale

Instead of scale = "itrf", subscale = "AD", ... it would be nice to have a full logical expression:
scale == "itrf" & subscale == "AD" & weight == 1

Implement new dic parameter `coding`

In cases where variables code responses/possible answers but not evaluative information (like points), recode could contain the level which represents a positive evaluation

new filter argument for get_index()

get_index() should get a single list argument. Each element of that list defines dic file parameters as filter variables.

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.