| 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 !
|