Key Functions & Commands

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Section 7.14 Key Functions & Commands

The following functions and commands are introduced or reinforced in this chapter to support correlation analysis and related exploratory techniques.

cor() (stats)
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- Computes the Pearson correlation coefficient between two numeric variables.
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cor.test() (stats)
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- Calculates the correlation coefficient and tests whether the relationship is statistically significant.
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pairs() (base R)
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- Creates a matrix of scatterplots for exploring relationships among multiple numeric variables.
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ggpairs() (GGally)
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- Produces an enhanced scatterplot matrix that includes distributions and correlation coefficients.
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pcor.test() (ppcor)
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- Computes partial correlations while controlling for one or more additional variables.
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ifelse() (base R)
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- Recodes variables for use in point-biserial or conditional correlation analyses.
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clean_names() (janitor)
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- Renames column headers by replacing all spaces with underscores and making all letters lowercase.
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