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determinantStructure Preprocessing: Functions to preprocess determinant structures

Description

These functions are used in conjunction with the determinantStructure family of funtions to conveniently work with determinant structures.

Usage

detStructAddVarLabels(determinantStructure,
                      varLabelDf,
                      varNameCol = "varNames.cln",
                      leftAnchorCol = "leftAnchors",
                      rightAnchorCol = "rightAnchors",
                      subQuestionCol = "subQuestions",
                      questionTextCol = "questionText")

detStructAddVarNames(determinantStructure, names)

detStructComputeProducts(determinantStructure, dat, append = TRUE)

detStructComputeScales(determinantStructure, dat, append = TRUE, separator = "_")

Arguments

determinantStructure
varLabelDf

The variable label dataframe as generated by processLSvarLabels. It is also possible to specify 'homemade' dataframe, in which case the column names have to specified (see the next arguments).

varNameCol

The name of the column of the varLabelDf that contains the variable name. Only needs to be changed from the default value if varLabelDf is not a dataframe as produced by processLSvarLabels.

leftAnchorCol

The name of the column of the varLabelDf that contains the left anchor. Only needs to be changed from the default value if varLabelDf is not a dataframe as produced by processLSvarLabels.

rightAnchorCol

The name of the column of the varLabelDf that contains the right anchor. Only needs to be changed from the default value if varLabelDf is not a dataframe as produced by processLSvarLabels.

subQuestionCol

The name of the column of the varLabelDf that contains the subquestion. Only needs to be changed from the default value if varLabelDf is not a dataframe as produced by processLSvarLabels.

questionTextCol

The name of the column of the varLabelDf that contains the question text. Only needs to be changed from the default value if varLabelDf is not a dataframe as produced by processLSvarLabels.

names

A character vector with the variable names. These are matched against the regular expressions as specified in the determinantStructure object, and any matches will be stored in the determinantStructure object.

dat

The dataframe containing the data; the variables names specified in names (when calling detStructAddVarNames) must be present in this dataframe.

append

Whether to only return the products or scales, or whether to append these to the dataframe and return the entire dataframe.

separator

The separator to use when constructing the scale variables names.

Value

detStructAddVarLabels and detStructAddVarNames just change the determinantStructure object; detStructComputeProducts and detStructComputeScales return either the dataframe with the new variables appended (if append = TRUE) or just a dataframe with the new variables (if append = FALSE).

Details

This family of functions will be explained more in detail in a forthcoming paper.

References

(Forthcoming)

See Also

determinantStructure, determinantVar, subdeterminants, subdeterminantProducts, detStructCIBER

Examples

Run this code
# NOT RUN {
### Generate a silly determinant structure
detStruct <- determinantStructure('This makes no sense',
                                  list('mpg',
                                       behaviorRegEx = 'mpg'),
                                  determinantVar("Proximal determinant",
                                                 "t",
                                                 determinantVar("Determinant",
                                                                "p",
                                                                subdeterminants("Subdeterminants",
                                                                                "a"))));

### Add the variable names
detStructAddVarNames(detStruct, names(mtcars));

### Add the determinant scale variable to the dataframe
mtcarsPlus <- detStructComputeScales(detStruct, mtcars);

### Show its presence
names(mtcarsPlus);
mean(mtcarsPlus$mpg_Determinant);
# }

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