calc_scags {cassowaryr} | R Documentation |
Compute selected scagnostics on subsets
Description
Compute selected scagnostics on subsets
Usage
calc_scags(
x,
y,
scags = c("outlying", "stringy", "striated", "striated2", "clumpy", "clumpy2",
"sparse", "skewed", "convex", "skinny", "monotonic", "splines", "dcor"),
out.rm = TRUE,
euclid = FALSE
)
Arguments
x |
numeric vector |
y |
numeric vector |
scags |
collection of strings matching names of scagnostics to calculate: outlying, stringy, striated, striated2, striped, clumpy, clumpy2, sparse, skewed, convex, skinny, monotonic, splines, dcor |
out.rm |
logical indicator to indicate if outliers should be removed before calculating non outlying measures |
euclid |
logical indicator to use Euclidean distance |
Value
A data frame that gives the single plot's scagnostic score.
See Also
calc_scags_wide
Examples
# Calculate selected scagnostics on a single pair
calc_scags(anscombe$x1, anscombe$y1, scags=c("monotonic", "outlying"))
# Compute on long form data, or subsets
# defined by a categorical variable
require(dplyr)
datasaurus_dozen %>%
group_by(dataset) %>%
summarise(calc_scags(x,y, scags=c("monotonic", "outlying", "convex")))
[Package cassowaryr version 2.0.0 Index]