search for: brkdn

Hi, I have a data set like this: Mutant Rep Time OD 02H02 1 0 0.029 02H02 2 0 0.029 02H02 3 0 0.023 02H02 1 8 0.655 02H02 2 8 0.615 02H02 3 8 0.557 02H02 1 12 1.776 02H02 2 12 1.859 02H02 3 12 1.668 02H02 1 16 3.379 02H02 2 16 3.726 02H02 3 16 3.367 306 1 0 0.033 306 2

...as I have assumed that the below calculates the mean of each factor level separately and not the mean per level factor 1 AND factor 2. Is there a way of doing this in ggplot2? I have also tried plotmeans() in the sciplot package, but was unsuccessful. Sincerely Anna Zakrisson library(plotrix) ?brkdn.plot par(family="serif",font=1) brkdn.plot("y1", "factor1","factor2", data=mydata, mct="mean",md="sd", main="", cex=0.8, stagger=NA, xlab="factor1", ylab...

station month bas 190 5 0.000 190 7 1.563 190 10 0.000 190 11 0.000 202 4 18.750 202 5 18.750 202 7 6.250 202 10 4.800 202 11 3.125 198 4 18.750 198 5 31.250 198 7 3.125 198 10 3.200 198 11 12.500 205 4 0.000 205 5 0.000 205 7 0.000

Hello. I need to plot a two-way interaction (5 levels X 3) with error bars. The x.factor will be the five-levels var and the trace.factor will be the three level var. I was able to find functions that draw error bars, but still couldn't find a way to draw an interaction plot that looks like what is common in psychological (and related) journals: the lines (three in my need) are plotted in

Dear R users, I have 32 observations in data x. After sorting this, I want to compute means and variances of 3 groups divided by "nr". Actually, the number of groups is flexible. Any suggestion will be greatly appreciated. Kathryn Lord --------------------------------------------------------------------------- x=rnorm(32) y=sort(x) nr=matrix(c(12,11,10,10,10,11),2,3) > nr

Hi all, I'm noting the appearance of new versions of plotrix and prettyR as I found a bug in the "brkdn" function that messed up the order of "value.labels" if they had been imported from an SPSS data file. For anyone using "brkdn", please upgrade to the new version of prettyR (1.3-5) if you are importing SPSS data files. If anyone discovers other problems, you know where...

...var 758255.12696 485670.6679 2393157.095 1232059.4957 38426150.479 sd 870.77846 696.9008 1546.983 1109.9818 6198.883 valid.n 118.00000 90.0000 58.000 77.0000 15.000 attr(,"class") [1] "dstat" The above data set was generated from brkdn function and the numbers 2, 5, and etc. indicate the levels in my breakdown. Now, I want to have a data frame looks like shown below so that I can save it into my database: Level mean median var sd valid.n 2 6.11 1.29 2885 53....

Hi, I want to plot means with standard deviations of Total Nitrogen (TN) across 4 stations (S1-S4) and over 3 years (2007-2009). I want this plot in one panel. I do not want medians (bwplot, boxplot). I have tried a few different packages and it seems that ggplots with plotmeans was the fastest (I am not extremely skilled in writing my own scripts). Unfortunately, there is no grouping

...be very very happy. # I also do not want the gemoetric points to be filled and the fill="white" commande # does not seem to work - why? and are there alternatives? #Furthermore, I would like to add legends to inside the plot area instead of on the side. Like when you use plotrix() and brkdn.plot: legend("topright", c("A", "B"), pch=c(0,1), bg="white", lty = 1:2, cex=1, bty="n") # This did not work in ggplot2. What are my alternatives. I have extensively searched the internet and have I missed something obvious, it was due to...

...dotplot that was requested not long ago on the list, provided by that intrepid duo, Barry Rowlingson and Rolf Turner. Mike Cheetham has contributed an implementation of the Piper diagram, also in response to a request. prettyR has finally learned how to display SPSS value labels in the xtab and brkdn functions if they are there. I would like to know if anyone finds a problem with this feature as it took some time to pick the low-hanging bugs out of it. Remember, it is your whingeing and moaning that have helped to make these packages what they are today. Jim

Goodmorning to everyone, I am trying to create a clustered barplot for the following 2 variables who have more cases but as an example i am giving you 10 items: sex聽 socio-economic status 1聽聽聽聽 1 2聽聽聽聽 2 2聽聽聽聽 2 2聽聽聽聽 3 2聽聽聽聽 2 1聽聽聽聽 4 1聽聽聽聽 1 1聽聽聽聽 1 2聽聽聽聽 3 2聽聽聽聽 1 where sex: 1:man, 2:woman 聽聽聽聽聽聽聽聽聽聽 socio-economic status:1:Low, 2:Medium, 3:High, 4:Very High Does anybody came across with a

Hi, I am having trouble plotting the graph I need given the follow kind of data > xxx <- data.frame( "x"=c(1,2,3,4,5), "y1"=c(2,4,3,5,6), "y2"=c(3,4,6,3,1), "y3"=c(1,3,5,7,3), "z1"=c(1,NA,3,5,NA), "z2"=c(2,NA,4,6,NA) ) > xxx x y1 y2 y3

Hello, I need to plot multiple confidence intervals for the same model parameter e.g. so for the same value of the parameter in point x_1 I would like to see four different confidence intervals so that I can compare the accuracy e.g. boot basic vs normal vs my own vs classic lm CI etc. I like very very much the plotCI implemented here: http://cran.r-project.org/web/packages/plotrix/index.html

Hi everyone, I am not new to R, but its been over a year since I've used it, so I don't remember how to do some things. I have a data set (in excel currently, but will be converted to text), that has date, country and price, with a price for every country for every date. I need to find the mean and median of the interval between price changes for each country and the mean and median

I have a bunch of lines I want to plot using plotCI() What Id like to know is, how can I connect the points with a line and how can I print multiple lines on the same graph? -- View this message in context: http://www.nabble.com/plotCI----multiple-plots-on-same-graph-tp19435198p19435198.html Sent from the R help mailing list archive at Nabble.com.

Hi all, does anyone have any practical examples of how this command can be used in prettyR? add.value.labels(x,value.labels) I mean, can we have the SPSS style of using numbers and/or labels if we want to? Thank you for your time Jason Dr. Iasonas Lamprianou Assistant Professor (Educational Research and Evaluation) Department of Education Sciences European University-Cyprus P.O. Box 22006

Hello fellow R users! I wonder if someone can help with what i think should be a simple question but i can't seem to find the answer or work it out. My data set is as such: Day Time ID Behaviour 1 9 A1 2 1 10 A2 3 .. .. .. .. 4 10 A1 10 4 11 A2 1 .. .. .. .. 30 1 B1 14 30 2 C3 4 So basically i

Hi Everyone, I've got a question about data representation. I have some psychometric data with 5 scores for 15 different groups. I've been asked to show some kind of mean plots. The data below is the mean and SD for a given group, unfortunately my employer doesn't want me posting full datasets. :( The groups V,W,X,Y,Z are divided into Bottom, (B), Middle (M) and Top (T). An

hello, can someone tell me how to generate the means for a data frame that looks like this? My data frame has many more variables, but I won't bother you with those; these are the one's that I'm interested in. Needless to say, z is the variable in which I'm interested. I'd like to find out the mean score of z for NDP managers, Conservative managers and Liberal managers

Hi All, I am currently doing the following to compute summary statistics of aggregated data: a = aggregate(warpbreaks$breaks, warpbreaks[,-1], mean) b = aggregate(warpbreaks$breaks, warpbreaks[,-1], sum) c = aggregate(warpbreaks$breaks, warpbreaks[,-1], length) ans = cbind(a, b[,3], c[,3]) This seems unnecessarily complex to me so I tried > aggregate(warpbreaks$breaks, warpbreaks[,-1],