clip.data: Clip data at quantiles to remove outliers.

In dfsp-spirit/nitools: Managing and Visualizing Brain Surface Data

Clip data at quantiles to remove outliers.

Description

Set all data values outside the given quantile range to the border values. This is useful to properly visualize morphometry data that includes outliers. These outliers negatively affect the colormap, as all the non-outlier values become hard to distinguish. This function can be used to filter the data before plotting it.

Usage

clip.data(data, lower = 0.05, upper = 0.95)

Arguments

data,	numeric vector. The input data. Can also be a hemilist.
lower,	numeric. The probability for the lower quantile, defaults to '0.05'.
upper,	numeric. The probability for the upper quantile, defaults to '0.95'.

Value

numeric vector. The output data.

See Also

The clip_fun function is more convenient when used in rglactions, as it allows specification of custom quantiles.

Examples

   full_data = rnorm(50, 3, 1);
   clipped = clip.data(full_data);

dfsp-spirit/nitools documentation built on Jan. 26, 2024, 8:24 p.m.