similar to: Plot grouped data: How to change x-axis? (nlme)

I'd like to use stripplot for some plots because I want to use the jitter parameter. On the other hand, I'd like to use dotplot because I'd like to have the horizontal lines that it includes. dotplot doesn't have a jitter option and I'm not having any success with getting panel.grid(h=-1) with stripplot. Can anyone show me how to make dotplot-like lines on a stripplot? Or

It sounds as thought you are interested in Hoyt's Anova which is a form of generalizability theory. This is usually estimated using by getting the variance components from ANOVA. > -----Original Message----- > From: r-help-bounces at stat.math.ethz.ch > [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Karl Knoblick > Sent: Tuesday, May 16, 2006 6:10 AM > To: r-help at

Dear R-Help, With the attached data set, I am still getting incorrect bwplots > xyplot(gdf$tt~gdf$OnHour |gdf$Runway, data=gdf) # Is correct > bwplot(gdf$tt~gdf$OnHour |gdf$Runway, data=gdf, horizontal=FALSE) # Puts the boxes on the wrong x-axis values # look especially at 0 and 3. How do I fix this? What is happening? Thanks, Jim Rome

Hello! I have the problem that in my function the passed variable is not used, but the variable name of the dataframe itself?- difficult to explain, but an easy example: TestFunc<-function(df, group) { ??? print(names(subset(df, select=group))) } df1<-data.frame(group="G1", visit="V1", value=0.9) TestFunc(df1, c("group", "visit")) Result: [1]

Hello! I want to calculate the intra- and interrater reliability of my study. The design is very simple, 5 raters rated a diagnostic score 3 times for 19 patients. Are there methods/funtions in R? I only found packages to calculate interrater variability and intraclass correlation coefficients for matrices of n*m (n subjects, m raters) - I have n subjects, m raters and r repetitions. Can

I am trying to calculate quantiles of a data frame column split up by two factors: # Calculate the quantiles quarts = tapply(gdf$tt, list(gdf$Runway, gdf$OnHour), FUN=quantile, na.rm = TRUE) This does not work: > quarts 04L 04R 15R 22L 22R 27 32 33L 33R 0 NULL Numeric,5 NULL Numeric,5 NULL Numeric,5 NULL Numeric,5 NULL 1 NULL

Karl, If you use one of the specialized packages to calculate your ICC, make sure that you know what you're getting. (I haven't checked the packages out myself, so I don't know either.) You might want to read David Futrell's article in the May 1995 issue of Quality Progress where he describes six different ways to calculate ICCs from the same data set, all with different

Hallo! I want to understand / recalculate what is done to get the CI of the logistic regression evaluated with lrm. As far as I came back, my problem is the variance-covariance matrix fit$var of the fit (fit<-lrm(...), fit$var). Here what I found and where I stucked: ----------------- library(Design) # data D<-c(rep("a", 20), rep("b", 20)) V<-0.25*(1:40) V[1]<-25

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),

Hallo! I have a problem with fitting data with nls. The first example with y1 (data frame df1) shows an error, the second works fine. Is there a possibility to get a fit (e.g. JMP can fit also data I can not manage to fit with R). Sometimes I also got an error singularity with starting parameters. # x-values x<-c(-1,5,8,11,13,15,16,17,18,19,21,22) # y1-values (first data set)

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(): >

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 would like to draw smooth curves instead of polygons. I could not find any spline function to do that : given an x and a y vectors, they all take the x in increasing order. Is there a function to draw a smooth curve through a set of points in any order ? with many thanks in advance Alain Guerreau CNRS Paris [[alternate HTML version deleted]]

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

Hi! Is there a possibilty in R to carry out LOCF (Last Observation Carried Forward) analysis or to create a new data frame (array, matrix) with LOCF? Or some helpful functions, packages? Karl --------------------------------- Gesendet von http://mail.yahoo.de Schneller als Mail - der neue Yahoo! Messenger. [[alternative HTML version deleted]]

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,

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

Hallo! I have two groups (placebo/verum), every subject is measured at 5 times, the first time t0 is the baseline measurement, t1 to t4 are the measurements after applying the medication (placebo or verum). The question is, if there is a significant difference in the two groups and how large the differnce is (95% confidence intervals). Let me give sample data # Data

Hello again folks, Thanks to all for the advice on getting hold of "grid" and "lattice". I think I'm getting the hang of it. This produces very satisfying arrays of histograms. The typical command I am using is histogram( ~ DATA.df$X | DATA.df$F, \ type=c("count"), layout=c(5,5) ) Now I'd like to ask a question slightly more subtle than

Can anyone show me how to connect a scrollbar to a text widget using the tcltk library? I'm confused about how to make sure the two widgets know about each other and how to set up the appropriate call-backs for scrolling. Mike -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send