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 |
cobfidenceb | computes the 95% confidence intervals for each beta after regression analysis |
collinearity | performs a collineatity diagnostic after regression analysis and shows the eigenvalues and condition indices of the independent variables |
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 |
histgramm | 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 |
histgrammtrech | 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 ! |