19 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
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
STEMLEAF
- Plot stem-and-leaf display
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