similar to: dotchart questions

Dear all, I'm trying to produce two dotcharts side-by-side within a Sweave document. When I'm compiling this example: \documentclass{article} \begin{document} <<fig=T,width=8,height=4>>= par(mfrow = c(1, 2), cex = 0.7) for(i in 1:2) dotchart(1:10) @ <<fig=T,width=8,height=4>>= par(mfrow = c(1, 2), cex = 0.7) for(i in 1:2) hist(1:10) @

I am using R to make two-way ANOVA on a number of variables using g <- aov(var ~ fact1*fact2) where var is a matrix containing the variables. However the outcome seem to be dependent on the order of fact1 and fact2 (i.e. fact2*fact1) gives a slightly (factor of 1.5) different result. Any ideas why this is? Thanks for any help Anders

I am trying to construct a two-way table where, instead of printing the two-way frequencies in the table, I would like to print the values of a third variable that correspond to the frequencies. For example, the following is easily constructed in R > fact1 <- factor(sample(LETTERS[1:3],10,replace=TRUE)) > fact2 <- factor(sample(LETTERS[25:26],10,replace=TRUE)) > fact3

Dear R-users, consider the two following outputs, ## 1 and ## 2 \begin{Scode}{Setup, echo = FALSE, print = FALSE, eval = TRUE} with(expand.grid(Fact1 = 1:3, Fact2 = 1:40), table(Fact1, Fact2)) ## 1 xtable(with(expand.grid(Fact1 = 1:3, Fact2 = 1:40), table(Fact1, Fact2))) ## 2 \end{Scode} The first line with(expand.grid(Fact1 = 1:3, Fact2 = 1:40), table(Fact1, Fact2))

Dear ExpeRts, Suppose I have a typical psychological experiment that is a within-subjects design with multiple crossed variables and a continuous response variable. Subjects are considered a random effect. So I could model > aov1 <- aov(resp~fact1*fact2+Error(subj/(fact1*fact2)) However, this only holds for orthogonal designs with equal numbers of observation and no missing values.

In my undertstanding of the problem, the model lme1 <- lme(resp~fact1*fact2, random=~1|subj) should be ok, providing that variances are homogenous both between & within subjects. The function will sort out which factors & interactions are to be compared within subjects, & which between subjects. The problem with df's arises (for lme() in nlme, but not in lme4), when

Hello, I am a new user or R, and am so far very impressed with its capabilities. However, I have no programming experience, and am having some issues in trying to tell the software what I want done. There are basically two issues which I am currently grappling with. The first, I have a data matrix, with two factors and dozens of response variables. I am interested on conducting ANOVAs on

Dear r-help, With lme, is there a way to specify multiple fixed factors under one level of grouping? For example, for a single fixed factor, I use the following: fm1.lme <- lme(fixed=resp ~ fact1, random=~1|subj/fact1, data=mydata) I would like to have multiple factors under subj, like the following for a two-way design, but I get an error: fm2.lme <- lme(fixed=resp ~ fact1*fact2,

I'm having an sorting problem in dotchart. I want to change the order of the BA in groups to AB, but I haven't found any solution yet. What should I do? And what if I want to change the groups order as well? At the bottom from Conrol up to 10 mg/L on the top. Thank you! x = c(39, 23, 23, 35, 30, 26, 30, 30, 29, 29, 26, 29, 34, 33) y = c("Control", "DMSO", "0,1

My earlier posting should have said "dotchart", not "barchart". 1)  How does one show confidence-intervals in a "dotchart" and use rownames for labels on the y-axes?  I have looked at "plotCI" in "gregmisc" package . But it does not seem to produce something like a dotchart.  The statistic, error, upper-bound, and lower-bound are in a

I have a factor vector of subject races (Asian, Black, Hispanic, White; n=30) that I want to plot with a Cleveland dotplot or dotchart. I tried the following in R2.12.1 : > dotchart(table(school$Race)) Error in plot.xy(xy.coords(x, y), type = type, ...) : invalid plot type Using the same data set in R2.11.1 the operation succeeded (I tried several variations to be sure): >

I have some data which I would like to display with dotchart. The labels are very long, so the chart becomes too small. Setting cex=0.7 seems to be a good compromise, but the gap between the text and the chart still is too large. I did not find a "gap" parameter in the description of dotchart... Thanks for any help. D. Trenkler "a" <- structure(c(103.35, 36.73, 55.09,

(Moved from r-help) On 3/13/2006 9:33 AM, Dietrich Trenkler wrote: > I have some data which I would like to display with dotchart. The > labels are very long, so the chart becomes too small. Setting cex=0.7 > seems to be a good compromise, but the gap between the text and the > chart still is too large. I did not find a "gap" parameter in the > description of dotchart...

Given this example mean.values<-colMeans(VADeaths) mean.values<-apply(VADeaths, 2, mean) median.values<-apply(VADeaths, 2, median) dotchart(VADeaths, gdata=mean.values) dotchart(VADeaths, gdata=median.values) is it possible to ?combine? a single dotchart showing both the mean and the median for each single group (with different plotting symbols)? ?is it that possible with the use of

Dear List, With the R 2.12.0 addition of table methods for points(), dotchart() struggles with tables. I found several possible solutions, but it is beyond my skill to decide what is "best". Here is a small example: ############################################# x <- table(infert$education) y <- 1:3L dotchart(x) # error about incorrect plot type ## moving closer to the cause,

Readers, I am trying to use the function dotchart. The data is: > testdot category values1 values2 values3 values4 1 a 10 27 56 709 2 b 4 46 47 208 3 c 5 17 18 109 4 d 6 50 49 308 The following error occurs > dotchart(testdot,groups=testdot[,2]) Error in dotchart(testdot, labels =

Sorry to keep asking elementary questions......I appreciate the help. I am trying to create a dotchart with the rows sorted according to the values, rather than the labels. When I try prof <- c('Accountant', 'Administrative assistant', 'Garment worker', 'Cook', 'Dentist', 'General practictioner', 'Graduate student', 'High level

Hello, In trying to minimize the margin on the left hand side when using dotchart I found what may be a typo in the code. In the lines below from dotchart.R, should nmai[4L] be nmai[2L]? if (!(is.null(labels) && is.null(glabels))) { nmai <- par("mai") nmai[2L] <- nmai[4L] + max(linch + goffset, ginch) + 0.1 par(mai = nmai) } Thank you, Stephen Weigand --

I am trying to plot the following data using dotchart intersect.data<-structure(list(X = structure(c(1L, 3L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 2L, 4L, 5L, 6L, 7L), .Label = c("1-100", "1001-1100", "101-200", "1101-1200", "1201-1300", "1301-1400", "1401-1500", "201-300", "301-400", "401-500",

I'm trying to create a dotplot with some grouping. I've been able to create what I want using dotchart (basic graphics), but can't quite get it using dotplot (lattice). I prefer to use lattice (or ggplot2) because I think it's a bit easier to control some other aspects of the plot appearance. Basically, w/ lattice I've not been able to get the y-axis label to include the