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: ista

andrewscurv shows andrews curves for the principal components of the selected variables. The number of gridpoints can be chosen be the user and one or more group variables (disctrete type) can be selected.
andrewsrech performs a pca on the selected variables and creates a composed object of the andrews curves of the principal . components
arcsin performs a arcus sinus transformation of the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. the type is automatically set continuous.
barchart shows a barchart for the selected discrete variables. One or more group variables (disctrete type) can be selected.
barchartrech computes the boxplot of selected variables
barchartrech computes the barchart of selected variables
boxcoxs performs a box-coxs transformation of the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. The type is set automatically to continuous.
boxplot shows a boxplot for the selected variables. One or more group variables (disctrete type) can be selected.
changename changes the names of selected variables
changetype changes the types of selected variables and shows if they excluded or included
choosegroup selction of group variables (discrete type)
choosevariable selction of variables
choosevariable2 selction of variables to transform
choosevariablep selction of variables in regression context
choosevariableX selction of X variables in regression context
collinearity performs a collineatity diagnostic after regression analysis and shows the eigenvalues and condition indices of the independent variables
confidenceb computes the 95% confidence intervals for each beta after regression analysis
confidencey computes the 95% confidence intervals for the unstandardized predicted values after regression analysis
covmatrix computes the covariance matrix for beta after regression analysis
defaultdata creates a list containing default values for the parameters data.colname, data.colvar, data.colmissing, data.coltype data.rowmissing, data.rowcase and data.randcase
deletecase deletes selected cases from the data set
deletevariable deletes selected variables from the data set
descriptivelinreg provides a short summary table of the X and Y variable after regression analysis
descriptivelong provides extensive descriptive statistics for selected variables of the data set
descriptiveshort Provides a short summary table for all variables of the data set.
doista starts ISTA with input data x. If x is a list concerning data.colname, data.colvar, data.colmissing, data.coltype data.rowmissing, data.rowcase, data.randcase and data.x then theseparameters are used in ISTA otherwise a list is automatically created consisting default values.
dotplot shows a dotplot for the selected variables. One or more group variables (disctrete type) can be selected.
dotplotrech computes the dotplot of selected variables
durbinwatson performes the durbin watson test for autocorrelation of the X variables after regression analysis
flipaxes adds a menubutton th change the axes of a display
frequencies provides frequency tables for the selected variables of the data set
grpp generates a probability-probability-plot to compare two variables
grppn generates a probability-probability-plot to compare a variable with a normal distribution
gruppenscatter creates according the selected variables and group variables the appropriate parameters d, c, r and title to build the displays in showd for a scatterplot
gruppenscatterp creates according the selected variables the appropriate parameters d, c, r and title to build the displays in showd for a scatterplot for the saved variables after regression analysis (no group variable possible)
gruppenvariable creates according the selected variables and group variables the appropriate parameters d, c, r and title to build the displays in showd
gruppenvariable2 creates according the selected variables and group variables the appropriate parameters d, c, r and title to build the displays in showd for barcharts, boxplots, dotplots
histogram shows a histgram for the selected variables. One or more group variables (disctrete type) can be selected. The origin and the binwidth are interactivly chosen by the user
histogramrech computes the histogram for selected variables
interval transforms the selected variables in a user specified interval. The transformed variables can replace the original ones or can be appended on the end of data.x. the type is automatically set continuous.
istaanova show the ANOVA table after performing a linear regression with Enter method for variable inclusion
istadata starts menu data in ISTA
istagraphic starts menu graphic in ISTA
istalinreg istalinreg computes the Least Squares estimate for the coefficients of a linear model with intercept in ISTA after chosing the Enter option. The estimate is given by b = INV(TRN(x) INV(om) x) TRN(x) INV(om) y.

istamain sets global display number equal to 0 and and loads the necessary libraries
istaprint creates menu button to print display
istastatistic starts menu statistic in ISTA
istatransformation starts menu transformation in ISTA
logarithmic performs a logarithmic transformation of the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. The type is set automatically to continuous.
logit performs a logit (log((x/(1-x))) transformation of the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. The type is set automatically to continuous.
missings offers three possibilities to the user to handle the missing values in the data set. It is possible to exclude the variable, the case or to replace the missing with a specified value.
missingsmethod offers three possibilities to the user to handle the missing values in the data set. It is possible to exclude the variable, the case or to replace the missing with a specified value.
parallel shows parallel coordinate plots for the principal components of the selected variables. The number of gridpoints can be chosen be the user and one or more group variables (disctrete type) can be selected.
powers performs a potenz transformation of the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. the type is automatically set continuous.
randomsample selects a random sample according approximatively to a specified percentage of the dataset using a uniform random generator. The exact percentage of extracted rows is given in the output window.
readcomponent internal routine for readlist
readlist Reads a composed object as ASCII data from a set of files. All elements of the composed object have to be numerical matrices or textvectors !
readmatrix Reads a matrix with mixed text and number columns as ASCII data from a file.
recodeista recodes the selected variables into binary variables with with the most frequent value as the reference value.
regressionplots shows different plots after performing a regression analysis (linear regression or neuronal nets) and saving the appropriate variables
regressionsave saves different variables after performing a regression analysis (linear regression or neuronal nets)
regressionselection selection of different regression methods (enter, forward, backward, stepwise) for the chosen X and Y variables.
regressionstatistic computes different statistics after performing a linear regression analysis
relations Computes the relation coefficients (chi^2,contingency, corrected contingency, spearman rank, bravais-pearson) for selected variables. It is possible to compute the coefficients interactively or non-interactively. In the interactive mode you have to choose one of the coefficients. Then you will get a menu sorted after the largest coefficients. If you click on the coefficient you will get some more information to the corresponding variables.
scatter Computes a scatterplotmatrix for the selected variables. If two variables are chosen a simple plot is created.
scatterp Computes a scatterplotmatrix for the selected variables after performing a regression analysis.. If two variables are chosen a simple plot is created.
selectitemlist opens a self defined menu box to ask for a choice like selectitem. For more than 15 variables a "forward" and a "backward" option ist implemented.
showd creates global defined dipsplays which cannot be overwritten according the created parameters r c d to show the computed objects
standard standardizes the selected variables in ISTA. The transformed variables can replace the original ones or can be appended on the end of data.x. the type is automatically set continuous.
tabular creates different tables to show the coefficients and their T-tests computed in the macro "relations".
variableinfo gives general information concerning the name, the type and the number of NaNs in each variable of the dataset and shows if the variables and cases are in/excluded.
writecomponent internal routine for writelist
writelist Writes a composed object as ASCII data to a set of files. All elements of the composed object have to be numerical matrices or textvectors !

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