splot: splot

In mskilab/skitools: Various mskilab R utilties

splot

Description

convenient formatted scatter plot with additional features as defaults, useful for fast interactive data inspection / exploration of large datasets (eg 1000s of points): - autoamtic setting of solid dots (pch = 19) - transparent colors for over plotting - automatic setting of x and y limits parametrized by "p.outlier" - quick setting of jiggle / jitter on plot - automatic fitting and plotting of regression line (fit = FALSE)

Usage

splot(
  x,
  y,
  cex = 0.4,
  poutlier = 0.01,
  col = alpha("black", 0.3),
  intercept = TRUE,
  xlim = quantile(x, na.rm = T, prob = c(poutlier[1], 1 - poutlier[length(poutlier)])),
  ylim = quantile(y, na.rm = T, prob = c(poutlier[1], 1 - poutlier[length(poutlier)])),
  label = NULL,
  cex.label = 1,
  adj.label = c(1, 0.5),
  col.label = "black",
  log = "",
  jiggle = NULL,
  fit = FALSE,
  col.fit = "blue",
  cex.fit = 1,
  square = FALSE,
  pch = 19,
  ...
)

Arguments

x	numeric vector of x data
y	numeric vector y data
cex	character inspection
poutlier	numeric value between 0 and 1 specifying quantile threshold of outliers to remove (=0.01)
col	character vector color (=alpha('black', 0.3))
xlim	length 2 numeric vector specifying x limits (=quantile(x, na.rm = T, prob = c(poutlier[1], 1-poutlier[length(poutlier)])))
ylim	length 2 numeric vector specifying y limits (=quantile(y, na.rm = T, prob = c(poutlier[1], 1-poutlier[length(poutlier)])))
log	standard plot log string
jiggle	numeric value between 0 and 1 specifying what percentage of plot area to jiggle each point (useful for overplotting) (= NULL)
fit	logical flag whether to fit a linear regression line to the data (=FALSE)
col.fit	character specifying color of linear regression fit (='blue')
cex.fit	character specifying size of text associated with linear regerssion line (=1)
square	logical flag whether to make square plot
pch	pch
...	...

Author(s)

Marcin Imielinski

mskilab/skitools documentation built on Aug. 31, 2023, 1:13 p.m.