similar to: change the type of lines and colours in interaction.plot

Dear all, I want to make a plot where I can specify the range of y axis. I am using the interaction.plot command and because the values of y axis are from 2 to 500, I am using a logarithmic scale. >interaction.plot(speclong$Date,speclong$time2,speclong$outcome,xaxt="n",type="l",pch=20,xlab="", log="y", ylab="Concentration

Is it possible to add standard error bars to the means on interaction plots? Thanks Murray -- Murray Pung Statistician, Datapharm Australia Pty Ltd 0404 273 283 [[alternative HTML version deleted]]

Dear all I am trying to make an interaction plot among 6 variables; e.g. PH to be in the x axis and the rest 5 variables in the y axis. The code that I am using is the below: The name of my file is e.g. spec so > spec<-read.csv("spec.csv") >head (spec) >str(spec) >names<-names(spec)[2:6] >speclong <- reshape(spec, idvar = "id", varying =

Hi all, I I need to manipulate the x axis in a stripchart. I will use one of the data sets included in R to explain what I need to do. attach(ToothGrowth) stripchart(len[supp=='VC']~dose[supp=='VC'], vertical=TRUE, group.names=c('A','A','A')) stripchart(len[supp=='OJ']~dose[supp=='OJ'], add=TRUE, vertical=TRUE, at=c(1:3)+.1,

Thank you for your guys reply for my previous question. But I got one more question about the boxplot. With the code in the R-help: boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg", ylab =

Dear List, ? I am creating a boxplot with two subsets, very similar to the example by Roger Bivand at ?boxplot (reproduced below).? I am trying to change the labels on the x-axis to have one number to cover both subsets.? I can do this in other plots by using axis=FALSE followed by a separate axis() command.? I have also tried variations in the names= argument but can't get it to work.?

I'm trying to plot a scatterplot of two variables using pch to plot different characters based on a third factor. Here is my example > data("ToothGrowth") > attach(ToothGrowth) > levels(supp) [1] "OJ" "VC" > plot(len ~ dose,pch=as.numeric(supp)) > legend(locator(1),pch=as.numeric(supp),legend=levels(supp)) The command as.numeric(supp) returns 2 2

Dear list, How can I add the mean and standard deviation to each of the boxplots using the example provided in the boxplot function? boxplot(len ~ dose, data = ToothGrowth, boxwex = 0.25, at = 1:3 - 0.2, subset = supp == "VC", col = "yellow", main = "Guinea Pigs' Tooth Growth", xlab = "Vitamin C dose mg",

Hi to all, Does anybody knows why this is giving an error? data(ToothGrowth) # Two-way design with options bargraph.CI(dose, len, group = supp, data = ToothGrowth, xlab = "Dose", ylab = "Growth", cex.lab = 1.5, x.leg = 1, col = "black", angle = 45, cex.names = 1.25, density = c(0,20), legend = TRUE) Error in dn.call[[1]] :

Dear all, I am ploting two boxplot of two chemical variables using the format boxplot(Alkalinity, logAlkalinity, log="y", col=c("lightblue"), lwd=0.6, boxwex=0.3) However when I plot like this, the distance between the two boxplots is very big and as well the distance of each boxplot from the plot area, left and right. How can I minimise that distance between the boxplots and

Dear all I have written a function to perform a very simple but useful task which I do regularly. It is designed to show how many values are missing from each variable in a data.frame. In its current form it works but is slow because I have used several loops to achieve this simple task. Can anyone see a more efficient way to get the same results? Or is there existing function which does

Hello, I have a couple more questions about boxplots. In the books I've read on statistics (I'm not a statistics expert but just a poor engineer trying to help his wife with the analysis of the data she gathered for her medieval history PhD), I seen two kinds of box plots: one using quartiles to determine the height of the rectangles and whiskers which is what the standard R boxplot does,

Dear all,? I am really sorry for this. I have attached the script and a .csv file with an example.? Hope this will help. Many thanks,Maria ???? 11:53 ?.?. ???????, 20 ????????? 2017, ?/? Duncan Murdoch <murdoch.duncan at gmail.com> ??????: On 20/11/2017 6:38 AM, Maria Lathouri via R-help wrote: >? Dear all > I know that it is a very simple question but it seems that I cannot

Dear all How does one resolve the variance between the actual availability of data sets in the default implementation with those mentioned in the documentation? I am unable to attach some of the datasets, even though help() is available for the same datasets. For example, "ToothGrowth" is a dataset that is widely mentioned in the documentation as being part of the base install.

I'm using xyplot to generate a trellis plot with each panel containing a scatterplot and a best fit line. Is it possible to write the slope of the best fit line in each panel? -- Alan S Barnett <asb at mail.nih.gov> NIMH/CBDB

Hi, sorry for bothering your guys. I will trying to make some nice graph using boxplot. when I check the help file of boxplot, there is a sample code as: boxplot(len ~ dose, data = ToothGrowth, add = TRUE, boxwex = 0.25, at = 1:3 + 0.2, subset = supp == "OJ", col = "orange") legend(2, 9, c("Ascorbic acid", "Orange juice"),

Hi there, I am a beginner. I would like to change the error bars in the bargraph.CI function from the default (se) to (sd). The help file says ci.fun= function(x) c(fun(x)-se(x), fun(x)+se(x)) Is there a simple way of telling the function what (x) precisely is - I already define in in the of the bargraph.CI function and assume that is should be able to use that information. cheers, Herwig --

Hello, When using bargraph.CI in package sciplot can the bars for each group be different colors? How do I select the color for each group? When I use this instead of the default (SD vs SE): bargraph.CI(x.factor = dose, response = len, data = ToothGrowth, ci.fun= function(x) c(mean(x)-sd(x), mean(x) + sd(x)) ) Am I getting 95% CI bars? Thank you kindly, Michael Just

On 20/11/2017 7:09 AM, Maria Lathouri wrote: > Dear all, > > I am really sorry for this. I have attached the script and a .csv file > with an example. The problem is that you have dat as a matrix with only one row. barplot() applies the colours to the rows of dat; since you have only one row, everything ends up blue. You can fix this by creating dat as a vector using

Dear all I know that it is a very simple question but it seems that I cannot change the colour in the bars. I have the following dataframe:? A ? ? ? ? ? ? ? ?? B ? ? ? ? ? ? ? ? C ? ? ? ? ? D ? ? ? ?? E ? ? ? ? ? ? ? ? ?? F ? ? ? ? ? ? ? ? ?? G ? ? ? ? ? ? ? ?0.0.24 ? ? ? ?? 152460 ? ? ? ? 474 ? ? ? 5.5 ? ? ?? 612000 ? ? ? ? ? 59061000 ? ? ? 1540313 and here is the script: