
BOXCOX

specifies the BoxCox transformation of variables. The variable Y
is transformed to , where c is a constant such that each value of must be positive. If the specified constant , the logarithmic transformation is used.

EXP

specifies the exponential transformation of variables. The variable Y
is transformed to , where c is a constant.

LOG

specifies the logarithmic transformation of variables. The variable Y
is transformed to , where c is a constant such that each value of must be positive.

LOGIT

specifies the logit transformation of variables. The variable Y
is transformed to , where the constant c>0 and the values of must be between 0 and 1.

POWER

specifies the power transformation of variables. The variable Y
is transformed to , where c is a constant such that each value of must be positive and the constant .
The following options provide the constant c and values in the transformations.

C=number

specifies the c value in the transformation. The default is c = 1 for logit transformation and c = 0 for other transformations.

LAMBDA=number

specifies the value in the power and BoxCox transformations. You must specify the value for these two transformations.
For example, the following statement requests that variables , a logarithmic transformation for the variable y1
, and , a power transformation for the variable y2
, be used in the imputation:
transform log(y1) power(y2/c=1 lambda=.5);
If the MU0= option is used to specify a parameter value for a transformed variable, the same transformation for the variable is also applied to its corresponding MU0= value in the
t test. Otherwise, is used for the transformed variable. See Example 63.10 for a usage of the TRANSFORM statement.