GSPCRexdata: GSPCR example data

In gspcr: Generalized Supervised Principal Component Regression

GSPCR example data

Description

Contains a data set used to develop and test the main features of the gspcr package. The data contains a dependent variable and 50 predictors generated based on true number of principal components.

Format

GSPCRexdata is a list containing two data.frame objects:

• X: A list of data.frames with 1000 rows (observations) and 50 columns (possible predictors). The list contains matrices storing data coded with different measurement levels:

  • cont with 50 continuous variables

  • bin with 50 binary variables (factors)

  • ord with 50 ordinal variables (ordered factors)

  • cat with 50 categorical variables (unordered factors)

  • mix with 20 continuous variables, 10 binary variables (factors), 10 ordinal variables (ordered factors), 10 categorical variables (unordered factors).

• y: A data.frame with 1000 rows and 5 columns. The first column cont is a continuous variable produced using a linear model with the first two PCs underlying X as a data-generating model. The other columns are transformed versions of cont to match common discrete target distribution in the social sciences. These are the variables stored:

  • cont continuous dependent variable (numeric vector)

  • bin binary dependent variable (factor)

  • ord ordinal dependent variable (ordered factor)

  • cat nominal dependent variable (unordered factor)

  • pois count dependent variable (numeric vector)

Examples

# Check out the first 6 rows of the continuous predictors
head(GSPCRexdata$X$cont)

# Check out first 6 rows of the dv data.frame
head(GSPCRexdata$y)

gspcr documentation built on May 29, 2024, 2:44 a.m.