PrettyTicks

Calculates axis ticks and labels using nice numbers

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

PrettyTicks function

<dl> <dt>min</dt>
<dd>Minimum value on the axis</dd> <dt>max</dt>
<dd>maximum value on the axis.</dd> <dt>ntick</dt>
<dd>Approximated number of desired ticks</dd></dl>

Arguments

Author

Calculates loose axis ticks and labels using nice numbers — PrettyTicks

<dl>

 <dt>min</dt>
<dd>Minimum value on the axis</dd>

 <dt>max</dt>
<dd>maximum value on the axis.</dd>

 <dt>ntick</dt>
<dd>Approximated number of desired ticks</dd>

</dl>

PrettyTicks: Calculates loose axis ticks and labels using nice numbers

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples