similar to: [lattice] lines for stripplot (like dotplot) or jitter for dotplot?

I'd like to make a plot showing frequency of an event. The data is in a data from that includes Year, Month and Day (of month) fields, so I created a Date with ISOdate(Year, Month, Day, tz=''). I can plot frequencies for the year 2002 with > thisyear <- Date[Year==2002] > hist( thisyear, xaxt='n' ) > axis.POSIXct( 1, at=seq(min(thisyear), max(thisyear),

Hi I'm fairly new to R and the list, so please take what I say accordingly! Far as I can see, strptime gives you a string in some specified format. In order to do any kind of numerically-based modelling with that, you need to obtain a number to work with. One way to do this is by getting the time with Sys.time() instead and coercing it to a number using as.integer(): >

Dear R-gang, I have a question about handling underscores in names in R 1.8.1 and 1.9.0. I recently installed 1.9.0 on a machine and found that many codes no longer work as a result of the changed behavior in make.names. I have numerous data files that have dashes, periods and underscores in the header row. I've got numerous R codes that read those files with read.table and read.csv and

Hi, My problem is simple: since having updated the lattice package, I cannot load lattice anymore. If I type in the command 'library(lattice)' the loading fails with the following message: --- cut here --- Error in library.dynam(lib, package, package.lib) : shared library 'lattice' not found In addition: Warning messages: 1: In loadNamespace(package, c(which.lib.loc,

Dear R Gang, I'm interested in using R and the nls package for fitting kinetic models. I'm having some difficulty getting a model specified for nls though. The math for the model that I want to fit is dg(t)/dt = K1 f(t) - k2 g(t) where g(t) and f(t) are measured data at a sequence of times t. K1 and k2 are the parameters of the model. If I solve this, the solution is g(t) = K1

Dear R-help, I have a data set consisting of measurements made on multiple subjects. Measurement sessions are repeated for each subject on multiple dates. Not all subjects have the same number of sessions. To create a factor that represents the session, I do the following: data <- read.csv('test-data.csv') # data appended below data$date <- as.Date(data$date,

All, On p.52 of Deepayan Sarkar's Lattice book there is a nice plot of showing residuals with median lines superimposed or various groups: library("lattice") stripplot(sqrt(abs(residuals(lm(yield~variety+year+site)))) ~ site, data = barley, groups = year, jitter.data = TRUE, type = c("p", "a"), fun = median) Suppose we wanted to make a similar plot for a

R help, How can I plot the below data table by Data ~ Site and group by Grinder and Equip Id so I get a chart like this Excel version? I have tried coplot with little success and lattice makes a pretty good chart like I want, but I am using the DCOM so it does not display correctly. I would like to make this using the base library if possible. <<...OLE_Obj...>> DATA TABLE

I have a question about using cumsum on subsets of a data frame. Suppose I have a frame that looks something like this > tmp f x y 1 left 1 0 2 left 2 0 3 left 3 9 4 left 4 10 5 left 5 23 6 left 6 45 7 left 7 13 8 left 8 2 9 left 9 6 10 right 1 10 11 right 2 26 12 right 3 9 13 right 4 50 14 right 5 78 15 right 6 20 16 right 7 7 17 right 8 20 18 right 9 19

Dear all, I am using the R 2.4.0 environment on Windows XP SP2 machine and trying to use the lattice package version 0.14-9 which you have kindly written to share with the R community. I have a question concerning the stripplot which I'd be very grateful if you can kindly advise me on: I used the dataset called trydata to plot a graph using stripplot (dataset attached), and the scripts

I want to make a 2x2 plot on a single page, using stripplot() and boxplot(). I tried the following two alternatives with mfrow() and layout(), but none of them worked. library(lattice) par(mfrow=c(2,2)) boxplot(X1 ~ Y, data=tst1, horizontal=T, las=1) boxplot(X2 ~ Y, data=tst1, horizontal=T, las=1) stripplot(Y ~ X1, data=tst1) stripplot(Y ~ X2, data=tst1) par(mfrow=c(1,1)) nf <-

I'm experiencing some confusion with the ellipsis argument (...). In my .Rprofile, I have the following functions: stderr <- function(x, ...) { sqrt( var(x, ...) / length(x) ) } se <- stderr I can use tapply to calculate some means: > tapply( Diameter, factor(Region), mean, na.rm=TRUE ) I II III IV V 0.02896429

For the following code is there a way to make the jitter all line up horizontally, instead of them being just randomly spread around a value. So for ex if there are multiple values at 63 for genotype wt then all the values should be plotted on the same y value of 63 but spaced apart by a certain factor or noise.. library(lattice); dataFrame <- as.data.frame(t(structure(c( 64,'wt',

I have a plot similar to the following library(lattice) stripplot(1:15, rep(1:3, each=5)) In order to save space for a presentation, I would like to have horizontal strips instead of vertical. The argument 'horiz' turns the arguments around, but not the plot. The documentation for 'stripplot' ('xyplot'), 'panel.stripplot' and the FAQ do not seem to provide

For the following example, > library(lattice) > df<-data.frame(i=1:100,p=runif(100),id=rep(c('a','b'),100)) > summary(df[,'p']) Min. 1st Qu. Median Mean 3rd Qu. Max. 0.01165 0.33580 0.57520 0.53290 0.74540 0.98610 > stripplot(p~i|id,df) The plot that is output is as expected with the exception that the values are scaled by a factor of 100 in

Hi, I'd like to change the default orientation of bwplot() and stripplot() so the plots are displayed vertically. Passing horizontal=FALSE into stripplot in the simple code below doesn't seem to be the answer. library(lattice); x <- rnorm(100); y <- as.factor(sapply(1:100, function(k) sample(c("A","B","C"), 1, prob=c(1/2, 1/3, 1/6)))); my.df <-

I would like to plot horizontal box-and-whisker plots in lattice where each factor has its own panel and scales are "free." Below is a stripplot version of what I have in mind. Substituting "bwplot" doesn't work. I know it's gotta be simple but I can't find the way . . . x <- c(runif(100, 0, 1), runif(100, 1, 2), runif(100, 2, 3)) y <-

Hello, I have a stripplot with 200+ labels i.e i have network connections. The y-axis are the server port numbers and am graphing the number of packets in a connection. Roughly stripplot(totpacks~portnum,data=network) Due to the large number of server ports in my dataset, the y-axis labels overlap so I would like to split it across several panels(1 panel per page) with about 25-50 per

Dear R gang, Can anyone help me sort out how to append one data frame to another while adding a factor to distinguish which was the original frame? For example, I have two frames, x and y > x exp size 1 a 10 2 b 9 3 c 10 4 d 12 5 e 11 > y exp size 1 a 13 2 b 15 3 c 12 4 d 20 5 e 15 and I'd like to create a new frame that looks like

Dear all, I wish to generate a lattice boxplot which skips an empty cell in a design. I have trawled r-help, scruitinized xyplot(lattice) help page, and merrily reproduced examples of using skip from a couple of previous r-help queries and the example given in Pinheiro & Bates. But I must be missing something... Here's an example (running R 1.9.1 on Win2k): # generate some data df1