Forms a variate and set of classifying factors from a table (P.W. Goedhart).
||Tables to be copied|
||New variate to contain the body of each table|
||Pointer containing the factors by which each new variate is classified|
||Labels for the new variate, indicating the values of the classifying factors corresponding to each of its units|
This procedure can be used to store the body of a table in a variate and obtain a set of factors to represent the way in which the data are arranged in the table. These factors then classify the newly formed variate in the same way as in the table. You can also form a text containing labels formed from the values of the classifying factors. Margins of the table are ignored.
The table to be copied is specified by the
TABLE parameter, the variate must be specified by the
VARIATE parameter, the set of classifying factors can be obtained by setting
CLASSIFICATION to a pointer, and the labels by setting the
LABELS parameter to a text. If the
CLASSIFICATION pointer has not been declared, the names of the classifying factors of the table are used as suffix names. The newly formed factors have the same attributes as the old classifying factors, excluding the setting of
EXTRA. Note that the order in which the factors are obtained can be unexpected for implicitly declared tables as explained in the Guide to Genstat, Part 1, Section 4.1.5.
Margins of the table are deleted by the directive
MARGIN. The classifying factors of the table are obtained with
GETATTRIBUTE. The initial declarations of the new factors are done by
DUPLICATE to transfer any relevant attributes. Factor values are then produced by
Commands for: Calculations and manipulation.
CAPTION 'VTABLE example',!t(\ 'In a randomized block experiment with 4 blocks of 3 units each,',\ 'the effect of 3 different diets on milk production was tested.',\ 'Each unit consisted of 4 or 5 cows; milk production was measured',\ 'individually. VTABLE is used to preprocess the data for an',\ 'analysis of variance.'); STYLE=meta,plain FACTOR [LEVELS=4 ; VALUES=12(1),15(2),13(3),14(4)] Block FACTOR [LABELS=!T('Nitrogen+','Nitrogen0','Nitrogen-') ;\ VALUES=4(1,2,3), 5(1,2,3), 4(1,2,3),3, 5(1,2),4(3)] Diet VARIATE [NVALUES=54] Milk READ Milk; DECIMALS=1 312 330 300 287 294 291 303 289 275 282 281 290 278 284 281 263 289 294 283 281 274 298 264 270 288 285 248 290 256 265 243 270 261 256 279 253 259 268 240 242 276 243 233 238 259 245 241 227 255 222 235 227 227 247 : TABULATE [CLASSIFICATION=Block,Diet] Milk ; MEAN=TabMilk PRINT TabMilk; DECIMALS=1 VTABLE TABLE=TabMilk; VARIATE=MeanMilk;\ CLASSIFICATION=!P(MeanBlock, MeanDiet) PRINT MeanMilk,MeanBlock,MeanDiet; DECIMALS=1,2(*) BLOCK MeanBlock TREAT MeanDiet ANOVA MeanMilk