vwReg.RdvwReg(formula, data, title = "", B = 1000, shade = TRUE, shade.alpha = 0.1, spag = FALSE, spag.color = "darkblue", mweight = TRUE, show.lm = FALSE, show.median = TRUE, median.col = "white", shape = 21, show.CI = FALSE, method = loess, bw = FALSE, slices = 200, palette = colorRampPalette(c("#FFEDA0", "#DD0000"), bias = 2)(20), ylim = NULL, quantize = "continuous", add = FALSE, ...)
| B | = number bootstrapped smoothers |
|---|---|
| bw | = TRUE: define a default b&w-palette |
| shade: | plot the shaded confidence region? |
| shade.alpha: | should the CI shading fade out at the edges? (by reducing alpha; 0 = no alpha decrease, 0.1 = medium alpha decrease, 0.5 = strong alpha decrease) |
| spag: | plot spaghetti lines? |
| spag.color: | color of spaghetti lines |
| mweight: | should the median smoother be visually weighted? |
| show.lm: | should the linear regresison line be plotted? |
| show.CI: | should the 95 show.median:should the median smoother be plotted? median.col:color of the median smoother shape:shape of points method:the fitting function for the spaghettis; default: loess slices:number of slices in x and y direction for the shaded region. Higher numbers make a smoother plot, but takes longer to draw. I wouldn'T go beyond 500 palette:provide a custom color palette for the watercolors ylim:restrict range of the watercoloring quantize:either 'continuous', or 'SD'. In the latter case, we get three color regions for 1, 2, and 3 SD (an idea of John Mashey) add:if add == FALSE, a new ggplot is returned. If add == TRUE, only the elements are returned, which can be added to an existing ggplot (with the '+' operator) ...:further parameters passed to the fitting function, in the case of loess, for example, 'span = .9', or 'family = 'symmetric'' |