The update method of trellis plots allows one to modify a lattice plot after the initial call.But the update behaviour is more like replace than append. This differs from the ggplot2 idiom where each
I want to draw horizontal and vertical lines on my level plot corresponding to x values from 74 to 76 and y values from 28 to 32.Bel开发者_C百科ow is my R code. But when I run the following,I get the
I have made a level plot in R of a variable using the lattice package. This grid corresponds to South Asia. I am only interested in viewing the values of this variable (aerosol optical depth) for cert
how do I change the text displayed in the strips of lattice plots? example: suppose I have a data frame test consisting of 3 columns
I have data-set represented as latitude-longitude and a VALUE(named \"class\") associated with each latitude-longitude pair, which i want to represent as using levelplot() or contourplot() under the \
Define: df <- data.frame( line1 = rep(seq(1,5,by=1),2), line2 = rep(seq(2,6,by=1),2), index = rep(seq(1,5,by=1),2),
To make clear what I\'m asking I\'ve created an easy example. Step one is to create some data: gender <- factor(rep(c(1, 2), c(43, 41)), levels = c(1, 2),labels = c(\"male\", \"female\"))
I am trying to get a boxplot with a specific order of the levels that are being plotted. Using the following data and code I generate the boxplot, but the order in which I need this is 6,12,15,18.
Is this possible to reproduce this lattice plot with ggplot2? library(latticeExtra) data(mtcars) x<- t(as.matrix(scale(mtcars)))
This morning I started to find a solution to produce a heatmap from a table of pair-wise values that I have here. I found that the lattice package offers levelplots which seem like what I was after. W
加载中,请稍侯......