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QCAGUI (version 1.3-0)

QCA Graphical User Interface

Description

QCAGUI is a graphical user interface (GUI) for the QCA package, derived from R Commander. Because QCA has little to do with statistics, the menus from Rcmdr were stripped down to the very basics. In crisp sets QCA, data is binary therefore it is fairly decent to treat it as categorical (1 - presence; 0 - absence). In order to ease the primary analysis (e.g. tables of frequencies) and the creation of basic graphs, this package activates some menus that are not available in Rcmdr but for factors. Users should be aware, however, that QCAGUI is not a package for statistics; Rcmdr is better for this purpose

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Version

Install

install.packages('QCAGUI')

Monthly Downloads

43

Version

1.3-0

License

GPL version 2 or newer

Maintainer

Adrian Dusa

Last Published

February 15th, 2017

Functions in QCAGUI (1.3-0)

Rcmdr-package

R Commander
generalizedLinearModel

Rcmdr Generalized Linear Model Dialog
mighty14

Random data with 14 conditions and 1 outcome
hierarchicalCluster

Rcmdr Hierarchical Clustering Dialog
even11

Random data with 11 conditions and 1 outcome
plotMeans

Plot Means for One or Two-Way Layout
KMeans

K-Means Clustering Using Multiple Random Seeds
QCAGUI-package

About the QCAGUI Package
partial.cor

Partial Correlations
Ebbinghaus

Union Growth and Decline in Western Europe 1950-95
dozen12

Random data with 12 conditions and 1 outcome
bin.var

Bin a Numeric Varisible
Recode

Rcmdr Recode Dialog
Commander

R Commander
Plugins

R Commander Plug-in Packages
RcmdrPager

Pager for Text Files
Rcmdr.Utilities

Rcmdr Utility Functions
lucky13

Random data with 13 conditions and 1 outcome
Osa

Political Opportunity in Non-democracies
Hist

Plot a Histogram
Compute

Rcmdr Compute Dialog
reliability

Reliability of a Composite Scale
MI.15

Random data with 15 conditions and 1 outcome
Yamasaki

The problem of contradictory simplifying assumptions
big10

Random data with 10 conditions and 1 outcome
Rcmdr.sciviews-specific

Rcmdr SciViews-specific Functions
Stokke

Causal mechanisms and regime effectiveness
stem.leaf

Stem-and-Leaf Display
assignCluster

Append a Cluster Membership Variable to a Dataframe
numSummary

Mean, Standard Deviation, and Quantiles for Numeric Variables
colPercents

Row, Column, and Total Percentage Tables
Rokkan

Divided Working-Class Movements
linearModel

Rcmdr Linear Model Dialog