Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: stats

bootstrap This macro gives bootstrap replications of different kind for models without known distribution of 'eps'
boxcox computes the Box-Cox transformation of x
boxcoxdens shows the change in the density before and after a Box-Cox transformation of x
caanalyse supplementary macro for corresp which performs correspondence analysis for a contingency table
caaxe supplementary macro for corresp which performs correspondence analysis for a contingency table
cacheckvar supplementary macro for corresp which performs correspondence analysis for a contingency table
cadisplay supplementary macro for corresp which performs correspondence analysis for a contingency table
cagetdata supplementary macro for corresp which performs correspondence analysis for a contingency table
canaxe supplementary macro for corresp which performs correspondence analysis for a contingency table
canegat supplementary macro for corresp which performs correspondence analysis for a contingency table
castr supplementary macro for corresp which performs correspondence analysis for a contingency table
categorize creates dummy variables from a data with respect to distinct realizations. The default reference category is the minimal value in each column. Alternatively, categorization can be done by giving a value or the index (rank among the realizations) in a column.
cdfbin computes the cumulative distribution function of a binomial distribution
cdfx cdfx returns the value of the extreme value and generalized Pareto distribution functions for elements of a vector.
corresp corresp executes Correspondence Analysis which analyses and describes a contingency table cross-tabulations) in terms of a reduced number of dimensions. Correspondence Analysis can be viewed as finding the best simultaneous representation of two sets that comprise the rows and columns of a data matrix, in order to obtain a summary description for large tables (cross-tabulations). This technique can be helpful in finding important underlying characteristics which might not be directly observed in the data. Graphical visualizations provide an insight and understanding tool for interpreting the data.
crosstable computes pairwise crosstables from all columns of a data matrix, gives the result of a Chi-square independence test and computes contingency coefficients.
descriptive descriptive provides extensive descriptive statistics for the columns of a data matrix. An additional vector of name strings can be given to identify columns by names.
draftman Generates a draftman plot of X.
factor factor performs a Factor Analysis for x (principal component, principal axes). For each method you can interactively between two different criteria for the factors. At the end you get a draftman plot of the the chosen factors.
fivenum computes the five number summary consisting of the minimum and maximum, the quartiles and the median.
frequency provides frequency tables for all columns of a matrix. An additional vector of name strings can be given to identify columns by names.
hazard Nonparametric estimator of the hazard rate. The bandwidth parameter can be optionally chosen.
hinesplot computes the Hines & Hines plot for a fixed p and a set of quantiles.
jarber Quantlet for testing the normality of a data set.
kaplanmeier Calculation of the Kaplan-Meir (product limit) estimator of the hazard rate and the survivor function for a set of durations. The first column of the input is a censorship indicator variable, (equal to zero if the duration is censored, and to one otherwise); the second column is the duration.
linreg linreg computes the Generalized Least Squares estimate for the coefficients of a linear model.
linregbs linregbs computes a backward elimination of a multiple linear regression model.
linregfs linregfs computes a simple forward selection for a multiple linear regression model.
linregfs2 linregfs2 computes a forward selection for a multiple linear regression model.
linregopt sets optional parameters for linregbs, linregfs2 and linregstep
linregres linregres computes some residual analysis for a linear regression.
linregstep linregstep computes a stepwise regression for a multiple linear regression model.
lorenz calculates the measures of concentration of Gini and Herfindahl
outputanova creates a anova table for linregbs, linregfs, linregstep
outputbs creates the parameter output for linregbs
outputfs2 creates the parameter output for linregfs2
outputpar creates the parameter output for linregbs, linregfs, linregstep
outputstep creates the parameter output for linregstep
pca PCA performs a Principal Component Analysis for x. It is possible to choose interactively between different criteria for the PCA's and confidence intervals.
pdfbin computes the probability function of a binomial distribution B(n,p) at a grid x
pdfx pdfx returns the value of the extreme value and generalized pareto densities for elements of a vector.
probbs sets optional parameters for linregbs interactively
probfs2 sets optional parameters for linregfs interactively
probsw sets optional parameters for linregstep interactively
qfbin computes the quantile function for a binomial distribution
qfx evaluates extreme value and generalized Pareto quantile function for elements of a vector.
randbin computes random numbers based on the binomial distribution
randx randx generates a vector of pseudo random variables with extreme value and generalized Pareto distribution.
rankcorr computes rank correlation coefficients according to Spearman and Kendall. In the case of ties, corrected versions are comptuted.
relation Computes the relation coefficients (chi^2, contingency, corrected contingency, spearman rank, bravais-pearson) for the data x.
relationchi2 Computes the Chi^2 coefficients for discrete data.
relationcont Computes the contingency coefficient for discrete data.
relationcorr Computes the bravais-pearson correlation for metric data.
relationcorrcont Computes the corrected contingency coefficient for discrete data.
relationrank Computes the rank correlation of spearman for ordinal data.
simdep Computes the simplicial depth estimate of location
statsmain sets defaults for library stats.
statstest executes some tests for the macros defined in stats.lib. Is invoked by vertestl().
summarize provides a short summary table (min, max, mean, median standard error) for all columns of a data matrix. An additional vector of name strings can be given to identify columns by names.
table2 computes a two way table from two-dimensional data.
tableN tableN returns a N way table for N-dimensional data.

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 21.9.2000