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. |