gradient_contour: plot contour map for 2D data

In shraddhapai/dataExplore: Stats and Viz for Data Exploration

Usage

gradient_contour(df, ttl = "", type = "fill",
  gradLow = "lightgoldenrodyellow", gradHigh = "mediumblue",
  contourBins = 30L, addPoints = TRUE, downSample = 1,
  pt_colour = "black", pt_alpha = 1, addFit = TRUE,
  fitCol = "maroon", ebCol = "mistyrose3", xlab = "x", ylab = "y",
  xl = NULL, yl = NULL, addZeroRef = TRUE, getObj = FALSE,
  logLog = FALSE)

Arguments

df	(data.frame) with 'x' and 'y' values
gradLow,	gradHigh (char) gradient low and high colour values
contourBins	(integer) number of bins in contour
addPoints	(logical) if T, shows individual observations
pt_colour,	pt_alpha (character) colour for data points; only useful if addPoints=TRUE
addFit	(logical) add line fit with CI
fitCol	(char) colour for line fit
ebCol	(char) colour for errorbar
xlab,	ylab (char) x/y axis labels
xl,	yl (numeric length 2) xlim and ylim. If NULL, shows [1,99]th percentile
addZeroRef	(logical) add zero as a reference line
getObj	(logical) if TRUE returns ggplot object.
logLog	(logical) if TRUE plots log-log scale
fill	(char) "lines" (contour lines) or "fill" (contour fill)
downSampls	(numeric between 0-1)Downsamples data points before plotting (e.g. 0.1 shows 10

plot contour map for 2D data

shraddhapai/dataExplore documentation built on March 9, 2020, 9:17 a.m.