counts_to_cases

Convert data frame of counts to data frame of cases.
data frame must contain a column with frequencies (counts) as generated by
as.data.frame from a contingency table

Automatically selects and visualises appropriate statistical
hypothesis tests between a response and a feature variable in a data frame.
The choice of test depends on the class, distribution, and sample size of the
input variables, as well as the user-defined 'conf.level'. Well suited for
web-based or server-side R applications.
Implemented tests: t.test(), wilcox.test(), aov(),
oneway.test(), kruskal.test(), lm(), fisher.test(), chisq.test().
Tests for normality: shapiro.test(), ad.test(). Tests for equal
variances: bartlett.test(). Post-hoc tests: TukeyHSD(),
pairwise.wilcox.test().

Sabine Schilling

visStatistics

Automated Selection and Visualisation of Statistical Hypothesis
Tests

Peter Kauf

counts_to_cases function

<dl><dt>x</dt>
<dd>a <code>data.frame</code> of counts generated from a contingency table.</dd>
<dt>countcol</dt>
<dd>character string, name of the column of x containing the
counts. Default name of the column is 'Freq'.</dd></dl>

Arguments

Convert data frame of counts to data frame of cases.
data frame must contain a column with frequencies (counts) as generated by
as.data.frame from a contingency table — counts_to_cases

<dl>

<dt>x</dt>
<dd>a <code>data.frame</code> of counts generated from a contingency table.</dd>


<dt>countcol</dt>
<dd>character string, name of the column of x containing the
counts. Default name of the column is 'Freq'.</dd>

</dl>

Convert data frame of counts to data frame of cases.
data frame must contain a column with frequencies (counts) as generated by
as.data.frame from a contingency table

counts_to_cases: Convert data frame of counts to data frame of cases. data frame must contain a column with frequencies (counts) as generated by as.data.frame from a contingency table

Description

Usage

Value

Arguments

Examples