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18 Not Implemented

This chapter lists parts of the pspp language that are not yet implemented.

2SLS
Two stage least squares regression
ACF
Autocorrelation function
ALSCAL
Multidimensional scaling
ANACOR
Correspondence analysis
ANOVA
Factorial analysis of variance
CASEPLOT
Plot time series
CASESTOVARS
Restructure complex data
CATPCA
Categorical principle components analysis
CATREG
Categorical regression
CCF
Time series cross correlation
CLEAR TRANSFORMATIONS
Clears transformations from active dataset
CLUSTER
Hierarchical clustering
CONJOINT
Analyse full concept data
CORRESPONDENCE
Show correspondence
COXREG
Cox proportional hazards regression
CREATE
Create time series data
CSDESCRIPTIVES
Complex samples descriptives
CSGLM
Complex samples GLM
CSLOGISTIC
Complex samples logistic regression
CSPLAN
Complex samples design
CSSELECT
Select complex samples
CSTABULATE
Tabulate complex samples
CTABLES
Display complex samples
CURVEFIT
Fit curve to line plot
DATE
Create time series data
DEFINE
Syntax macros
DETECTANOMALY
Find unusual cases
DISCRIMINANT
Linear discriminant analysis
EDIT
obsolete
END FILE TYPE
Ends complex data input
FILE TYPE
Complex data input
FIT
Goodness of Fit
GENLOG
Categorical model fitting
GET TRANSLATE
Read other file formats
GGRAPH
Custom defined graphs
GRAPH
Draw graphs
HILOGLINEAR
Hierarchical loglinear models
HOMALS
Homogeneity analysis
IGRAPH
Interactive graphs
INFO
Local Documentation
KEYED DATA LIST
Read nonsequential data
KM
Kaplan-Meier
LOGLINEAR
General model fitting
MANOVA
Multivariate analysis of variance
MAPS
Geographical display
MATRIX
Matrix processing
MATRIX DATA
Matrix data input
MCONVERT
Convert covariance/correlation matrices
MIXED
Mixed linear models
MODEL CLOSE
Close server connection
MODEL HANDLE
Define server connection
MODEL LIST
Show existing models
MODEL NAME
Specify model label
MULTIPLE CORRESPONDENCE
Multiple correspondence analysis
MULT RESPONSE
Multiple response analysis
MVA
Missing value analysis
NAIVEBAYES
Small sample bayesian prediction
NLR
Non Linear Regression
NOMREG
Multinomial logistic regression
NONPAR CORR
Nonparametric correlation
NUMBERED

OLAP CUBES
On-line analytical processing
OMS
Output management
ORTHOPLAN
Orthogonal effects design
OVERALS
Nonlinear canonical correlation
PACF
Partial autocorrelation
PARTIAL CORR
Partial correlation
PLANCARDS
Conjoint analysis planning
PLUM
Estimate ordinal regression models
POINT
Marker in keyed file
PPLOT
Plot time series variables
PREDICT
Specify forecast period
PREFSCAL
Multidimensional unfolding
PRINCALS
PCA by alternating least squares
PROBIT
Probit analysis
PROCEDURE OUTPUT
Specify output file
PROXIMITIES
Pairwise similarity
PROXSCAL
Multidimensional scaling of proximity data
RATIO STATISTICS
Descriptives of ratios
READ MODEL
Read new model
RECORD TYPE
Defines a type of record within FILE TYPE
REFORMAT
Read obsolete files
REPEATING DATA
Specify multiple cases per input record
REPORT
Pretty print working file
RMV
Replace missing values
SCRIPT
Run script file
SEASON
Estimate seasonal factors
SELECTPRED
Select predictor variables
SPCHART
Plot control charts
SPECTRA
Plot spectral density
SUMMARIZE
Univariate statistics
SURVIVAL
Survival analysis
TDISPLAY
Display active models
TREE
Create classification tree
TSAPPLY
Apply time series model
TSET
Set time sequence variables
TSHOW
Show time sequence variables
TSMODEL
Estimate time series model
TSPLOT
Plot time sequence variables
TWOSTEP CLUSTER
Cluster observations
UNIANOVA
Univariate analysis
UNNUMBERED
obsolete
VALIDATEDATA
Identify suspicious cases
VARCOMP
Estimate variance
VARSTOCASES
Restructure complex data
VERIFY
Report time series
WLS
Weighted least squares regression
XGRAPH
High resolution charts