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Statistics package: Difference between revisions
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<code>pkg install -forge statistics</code> | <code>pkg install -forge statistics</code> | ||
The following sections provide an overview of the functions available in the statistics package sorted alphabetically and arranged in groups similarly to the package's INDEX file. | |||
== Clustering == | == Clustering == | ||
=== Available functions === | |||
The following table lists the functions available for clustering. | |||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| cluster | |||
| Define clusters from an agglomerative hierarchical cluster tree. | |||
|- | |||
| cmdscale | |||
| Classical multidimensional scaling of a matrix. | |||
|- | |||
| confusionmat | |||
| Compute a confusion matrix for classification problems. | |||
|- | |||
| cophenet | |||
| Compute the cophenetic correlation coefficient. | |||
|- | |||
| evalclusters | |||
| Create a clustering evaluation object to find the optimal number of clusters. | |||
|- | |||
| inconsistent | |||
| Compute the inconsistency coefficient for each link of a hierarchical cluster tree. | |||
|- | |||
| kmeans | |||
| Perform a K-means clustering of an NxD matrix. | |||
|- | |||
| linkage | |||
| Produce a hierarchical clustering dendrogram. | |||
|- | |||
| mahal | |||
| Mahalanobis' D-square distance. | |||
|- | |||
| optimalleaforder | |||
| Compute the optimal leaf ordering of a hierarchical binary cluster tree. | |||
|- | |||
| pdist | |||
| Return the distance between any two rows in X. | |||
|- | |||
| pdist2 | |||
| Compute pairwise distance between two sets of vectors. | |||
|- | |||
| squareform | |||
| Interchange between distance matrix and distance vector formats. | |||
|} | |||
=== TODO list === | |||
procrustes | |||
== Data Manipulation == | == Data Manipulation == | ||
=== Available functions === | |||
The following table lists the functions available for data manipulation. | |||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| combnk | |||
| Return all combinations of K elements in DATA. | |||
|- | |||
| crosstab | |||
| Create a cross-tabulation (contingency table) T from data vectors. | |||
|- | |||
| datasample | |||
| Randomly sample data. | |||
|- | |||
| grp2idx | |||
| Get index for group variables. | |||
|- | |||
| tabulate | |||
| Compute a frequency table. | |||
|} | |||
== Descriptive Statistics == | == Descriptive Statistics == | ||
| Line 525: | Line 603: | ||
| ztest | | ztest | ||
| One-sample Z-test. | | One-sample Z-test. | ||
|} | |||
== Wrappers == | |||
Functions available for wrapping other functions or group of functions. | |||
{| class="wikitable" | |||
! Function | |||
! Description | |||
|- | |||
| cdf | |||
| This is a wrapper around various NAMEcdf and NAME_cdf functions. | |||
|- | |||
| clusterdata | |||
| Wrapper function for 'linkage' and 'cluster'. | |||
|- | |||
| pdf | |||
| This is a wrapper around various NAMEpdf and NAME_pdf functions. | |||
|- | |||
| pdf | |||
| Generates pseudo-random numbers from a given one-, two-, or three-parameter distribution. | |||
|} | |} | ||
[[Category:Packages]] | [[Category:Packages]] | ||
[[Category:Missing functions]] | [[Category:Missing functions]] | ||