| Library: | smoother |
| See also: | plogspline qlogspline dlogspline rlogspline logsplinesummary logsplinefit |
| Quantlet: | plotlogspline | |
| Description: | produces a plot of a logspline fit at n equally spaced points covering the support of the density. |
| Usage: | logsplineplot(fit, {n, {what, {xlim, {type}}}}) | |
| Input: | ||
| fit | a list like the output from logsplinefit. | |
| n | the number of equally spaced points at which to plot the density (default is 100) | |
| what | string, what should be plotted: "d" (density - is default), "p" (distribution function), "s" (survival function) or "h" (hazard function). This string can contain more of these options which should be separated by a space or a comma. | |
| xlim | 2 x 1 vector, the x limits of the plot | |
| type | string, indicating either line ("l", default) or point ("p") plot | |
library("smoother")
data = read("geyser")
fit = logsplinefit(data[,1], "none","none","none",0)
xlim = #(0,7)
plotlogspline(fit,100,"p d",xlim,"l")
setgopt(plotdisplay,1,1,"title", "Distribution and Density Functions")
Plot of distribution and density functions