ConfidenceInterval

Calculates Confidence Interval for the mean of a Numerical Variable.

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Jose Vicente-Villardon

MultBiplotR

Multivariate Analysis Using Biplots in R

ConfidenceInterval function

<dl> <dt>x</dt>
<dd>The numerical variable</dd> <dt>Desv</dt>
<dd>Standard deviation. If NULL, the sd is calculated from the data</dd> <dt>df</dt>
<dd>Degrees of freedom</dd> <dt>Confidence</dt>
<dd>Confidence Level</dd></dl>

Arguments

Author

Confidence Interval for the mean — ConfidenceInterval

<dl>

 <dt>x</dt>
<dd>The numerical variable</dd>

 <dt>Desv</dt>
<dd>Standard deviation. If NULL, the sd is calculated from the data</dd>

 <dt>df</dt>
<dd>Degrees of freedom</dd>

 <dt>Confidence</dt>
<dd>Confidence Level</dd>

</dl>

ConfidenceInterval: Confidence Interval for the mean

Description

Usage

Value

Arguments

Author

Details

Examples