BayesX (version 0.3-1)

plotnonp: Plotting Nonparametric Function Estimates

Description

Plots nonparametric function estimates obtained from BayesX

Usage

plotnonp(data, x = 2, y = c(3, 4, 5, 7, 8), ylim = NULL, 
         lty = c(1, 2, 3, 2, 3), cols = rep(1, length(y)), month, year, step=12, 
         xlab, ylab, ...)

Arguments

data

Either the name of a file or a data frame containing the estimation results.

x

Defines the x-axis in the plot. Either the name of a variable in data or the index of the corresponding column.

y

Defines the variables to be plotted against x. May be either a vector of names of variables in data or the corresponding indices. The default choice corresponds to the point estimate plus two confidence bands.

ylim

Since plotnonp plots multiple y-variables, it automatically determines the appropriate ylim to make all curves visible. Argument ylim allows to override this default behaviour with fixed values.

lty

Vector of line types used for plotting (must have the same length as y). The default corresponds to solid lines for the point estimate and dashed and dotted lines for the confidence bands.

cols

Vector of colors used for plotting (must have the same length as y). Default are black lines.

month, year, step

Provide specific annotation for plotting estimation results for temporal variables. month and year define the minimum time point whereas step specifies the type of temporal data with step=4, step=2 and step=1 corresponding to quartely, half yearly and yearly data.

xlab, ylab

plotnonp constructs default labels that can be overwritten by these arguments

…

Further arguments to be passed to the interval call of plot such as type, etc.

See Also

drawmap,plotautocor,plotsample,plotsurf

Examples

# NOT RUN {
res <- read.table(system.file("examples/nonparametric_f_x_pspline.res", 
                              package="BayesX"), header=TRUE)
plotnonp(res)
plotnonp(res, x="x")
plotnonp(res, x="x", y="pmean")
plotnonp(res, x="x", y="pmed")
plotnonp(res, x="x", y="pmed", ylim=c(-2,2))
plotnonp(res, x="x", y=c("pmean", "pqu10", "pqu90"), lty=c(1,1,1), 
         col=c("red","blue","blue"))
plotnonp(res, xlab="some variable", ylab="f(some variable)", 
         main="Nonlinear effect of some variable", sub="penalised spline")

res <- read.table(system.file("examples/nonparametric2_f_time_pspline.res", 
                              package="BayesX"), header=TRUE)
plotnonp(res)
plotnonp(res, month=1, year=1980, step=12)

res <- res[1:18,]                                           
plotnonp(res, month=1, year=1980, step=12)
# }