scatterMatrix produces a matrix with jittered scatterplots, histograms, and correlation coefficients.

scatterMatrix(
  dat,
  items = NULL,
  itemLabels = NULL,
  plotSize = 180,
  sizeMultiplier = 1,
  pointSize = 1,
  axisLabels = "none",
  normalHist = TRUE,
  progress = NULL,
  theme = ggplot2::theme_minimal(),
  hideGrid = TRUE,
  conf.level = 0.95,
  ...
)

Arguments

dat

A dataframe containing the items in the scale. All variables in this dataframe will be used if items is NULL.

items

If not NULL, this should be a character vector with the names of the variables in the dataframe that represent items in the scale.

itemLabels

Optionally, labels to use for the items (optionally, named, with the names corresponding to the items; otherwise, the order of the labels has to match the order of the items)

plotSize

Size of the final plot in millimeters.

sizeMultiplier

Allows more flexible control over the size of the plot elements

pointSize

Size of the points in the scatterplots

axisLabels

Passed to ggpairs function to set axisLabels.

normalHist

Whether to use the default ggpairs histogram on the diagonal of the scattermatrix, or whether to use the ufs::normalHist() version.

progress

Whether to show a progress bar; set to FALSE to disable. See GGally::ggpairs() help for more information.

theme

The ggplot2 theme to use.

hideGrid

Whether to hide the gridlines in the plot.

conf.level

The confidence level of confidence intervals

...

Additional arguments for scatterMatrix() are passed on to ufs::normalHist(), and additional arguments for the print method are passed on to the default print method.

Value

An object with the input and several output variables. Most notably:

output$scatterMatrix

A scattermatrix with histograms on the diagonal and correlation coefficients in the upper right half.

Examples


### Note: the 'not run' is simply because running takes a lot of time,
###       but these examples are all safe to run!
if (FALSE) {

### Generate a datafile to use
exampleData <- data.frame(item1=rnorm(100));
exampleData$item2 <- exampleData$item1+rnorm(100);
exampleData$item3 <- exampleData$item1+rnorm(100);
exampleData$item4 <- exampleData$item2+rnorm(100);
exampleData$item5 <- exampleData$item2+rnorm(100);

### Use all items
scatterMatrix(dat=exampleData);
}