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Statistics package: Difference between revisions
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| manova1 | | manova1 | ||
| One-way multivariate analysis of variance (MANOVA). | | One-way multivariate analysis of variance (MANOVA). | ||
|- | |||
| multcompare | |||
| Perform posthoc multiple comparison tests or p-value adjustments to control the family-wise error rate (FWER) or false discovery rate (FDR). | |||
|- | |- | ||
| ranksum | | ranksum | ||
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The following table lists the available functions for plotting data. | The following table lists the available functions for plotting data. | ||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| boxplot | |||
| Produce a box plot. | |||
|- | |||
| cdfplot | |||
| Display an empirical cumulative distribution function. | |||
|- | |||
| confusionchart | |||
| Display a chart of a confusion matrix. | |||
|- | |||
| dendrogram | |||
| Plot a dendrogram of a hierarchical binary cluster tree. | |||
|- | |||
| ecdf | |||
| Empirical (Kaplan-Meier) cumulative distribution function. | |||
|- | |||
| gscatter | |||
| Draw a scatter plot with grouped data. | |||
|- | |||
| histfit | |||
| Plot histogram with superimposed fitted normal density. | |||
|- | |||
| hist3 | |||
| Produce bivariate (2D) histogram counts or plots. | |||
|- | |||
| manovacluster | |||
| Cluster group means using manova1 output. | |||
|- | |||
| normplot | |||
| Produce normal probability plot of the data. | |||
|- | |||
| ppplot | |||
| Produce a probability plot. | |||
|- | |||
| qqplot | |||
| Produce an empirical quantile-quantile plot. | |||
|- | |||
| silhouette | |||
| Compute the silhouette values of clustered data and show them on a plot. | |||
|- | |||
| violin | |||
| Produce a Violin plot of the data. | |||
|- | |||
| wblplot | |||
| Plot a column vector DATA on a Weibull probability plot using rank regression. | |||
|} | |||
=== TODO list === | |||
Missing functions: | |||
<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1"> | |||
* <code>andrewsplot</code> | |||
* <code>bar3</code> | |||
* <code>bar3h</code> | |||
* <code>glyphplot</code> | |||
* <code>gplotmatrix</code> | |||
* <code>parallelcoords</code> | |||
</div> | |||
== Regression == | == Regression == | ||
| Line 703: | Line 769: | ||
The following table lists the available functions for regression analysis. | The following table lists the available functions for regression analysis. | ||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| canoncorr | |||
| Canonical correlation analysis. | |||
|- | |||
| cholcov | |||
| Cholesky-like decomposition for covariance matrix. | |||
|- | |||
| dcov | |||
| Distance correlation, covariance and correlation statistics. | |||
|- | |||
| logistic_regression | |||
| Perform ordinal logistic regression. | |||
|- | |||
| monotone_smooth | |||
| Produce a smooth monotone increasing approximation to a sampled functional dependence. | |||
|- | |||
| pca | |||
| Performs a principal component analysis on a data matrix. | |||
|- | |||
| pcacov | |||
| Perform principal component analysis on the NxN covariance matrix X | |||
|- | |||
| pcares | |||
| Calculate residuals from principal component analysis. | |||
|- | |||
| plsregress | |||
| Calculate partial least squares regression using SIMPLS algorithm. | |||
|- | |||
| princomp | |||
| Performs a principal component analysis on a NxP data matrix. | |||
|- | |||
| regress | |||
| Multiple Linear Regression using Least Squares Fit. | |||
|- | |||
| regress_gp | |||
| Linear scalar regression using gaussian processes. | |||
|- | |||
| stepwisefit | |||
| Linear regression with stepwise variable selection. | |||
|} | |||
=== TODO list === | |||
Missing functions: | |||
<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1"> | |||
* <code>glmfit</code> | |||
* <code>glmval</code> | |||
* <code>mnrfit</code> | |||
* <code>mnrval</code> | |||
</div> | |||
== Wrappers == | == Wrappers == | ||