similar to: plot or boxplot!

I noticed, what seened to me, to be odd. These produce a boxplot in the first case and a spineplot in the second case in R .2.2.0: plot(Sepal.Length ~ Species, iris) plot(Species ~ Sepal.Length, iris) What if one wants to exchange axes? Does the fact that this seemingly innocuous change result in completely different graphics make sense? Is it desirable?

Hello- I'm new to R, coding and stats. (Oh no.) Anyway, I have about 12000 data points in a data.frame (dealing with dimensions and geological stage information for fossil protists) and have plotted them in a basic scatter plot. I also added a boxplot to overlay these points. Each worked fine independently, but when I attempt to superimpose them with add=true, I get a different scale for

Dear R list, I am a newbie to R and programming itself, so my question may be easy to answer for you. I wanted to create a scatterplot and i used the following code: par(mar=c(10, 4.1,4.1,2.1)) plot(q$location,q$points, , las=2, cex.axis=0.5,xlab="", ylab="" ) #location are character strings, there are about 70 locations #points are numeric, there are more than 4 points for

Hi, I want to add boxplots to a scatterplot: plot(x,y, xlim=c(80,120),ylim=c(80,120)) boxplot(y,add=TRUE,at=118) boxplot(x,add=TRUE,at=118,horizontal=TRUE) How can I control the width of the boxes (say, I'd like them to be of width 3 in the variables' scales). I've tried the "width" parameter but failed. Thanks in advance, Marcin

Hello, I have 12 sample each sample has got 1000 observation, i.e I have a matrix X with 1000 rows and 12 columns! m <- svm(t(X)) p <- predict (m) Can anyone tell me how to use svmtrain() in R! Many Yhanks, Samuel [[alternative HTML version deleted]]

I am getting an error message from scatterplot: > library(car) > scatterplot(Prestige$income~Prestige$type) Error in Summary.factor(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, : range not meaningful for factors In addition: Warning message: In Ops.factor(x[floor(d)], x[ceiling(d)]) : + not meaningful for factors > The command does output the kind of graph that I want (boxplots).

Hello, I have got the following problem: > setwd("C:/temp") > library(xlsReadWrite) > MyData <- read.xls(file="Mappe1.xls", colNames = TRUE,dateTimeAs = "isodatetime") > attach(MyData) > MyData name value times 1 A1 2 2006-05-12 2 A2 3 2006-05-16 3 A3 1 2006-05-12 4 A4 4 2006-05-12 5 A5 2

Hello, I am trying to read the SAS file MyData.sa7bdat in R! This file is saved under D:\data! I therefore wrote > path <-"D:/SasData" > sashome <- "C/Progra, Files/SAS Institute/9_1/SAS" > sascmd <- file.path(sashome, "sas.exe") > MyData <- read.ssd(path, "MyData", sascmd=sascmd) The results what I get:

Thanks to David and Jorge - both of your helpful suggestions got me to the desired endpoint. In case anyone else has this question: I boxplotted my y variable data, but did the "cut" operation on the x variable in order to conserve the order of the y data. I see another suggestion coming in from another user that basically says this. So, my working line of code was: boxplot(count$RPKM

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Dear all I'm realy new to R, so I hope you can help me, as I didn't find any solution in the common books. Since some days I'm trying to create the following plot: A scatterplott showning two different groups side-by-side with according regression lines. Both datasets only have the same five factors, so the scatters will form a kind of column at each factor. When I use

Hi All, I'm struggling to add text automatically to plots. I have a series of scatterplots that I have stored in a script because the underlying data changes often and the plots need to be regenerated. I use the scatterplot function (defined in Rcmd, I believe). When one of the variables is a factor, a boxplot is drawn over the scatter of the other variable. In the case where x is a

(Repeat of previous HTML version) Hello all, I am a new R user and I have finally imported my data using >read.delim("Filename.txt", header=TRUE) after some difficulty, by changing file directories (a hint to anyone who might be stuck there). However, I am now stuck trying to use my data. When I try to use data.frame("filename.txt") it tells me object not found, which

hello, the last 3 times I installed C5, the MBR was unchanged and nothing was written into /boot/grub except splash.xbm.gz there were no stage* files, nor a menu.lst I know how to fix that. Would I have better luck using a partition mounted as /boot? Anyone succeded with Grub that way? I prefer not having to do surgery to get C5 to boot :) -- Mark New Packages for C5 ---------

I am running R version 2.15.1 in Windows XP I am having problems with a function I'm trying to create to: 1. subset a data.frame based on function arguments (colname & parmname) 2. rename the PARMVALUE column in the data.frame based on function argument (xvar) 3. generate charts plotvar <- function(parentdf,colname, parmname,xvar,yvar ){ subdf <-

I have some data consisting of multiple trials of an experiment with different values of an independent variable. If I run R> plot(var,result) I get a scatterplot of result versus the independent variable var. If I run R> plot(as.factor(var),result) I get a boxplot of the distribution of result for each value of var. In this plot, each boxplot is labeled by the corresponding value of

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

Hello, I am interested in Figure 2 in http://www-stat.stanford.edu/~tibs/ftp/cus.pdf Can anyone tell please how to create this plot? Many thanks Samuel [[alternative HTML version deleted]]

Hi, I have the following data data1 <- data.frame(count = c(0,1,1,2,4,5,13,16,14), weeks = 1:9,                     treat=c(rep("1mg",3),rep("5mg",3),rep("10mg",3))) and I am using library(splines) to fit glm.m <- glm(count~bs(weeks)+as.factor(treat),family=poisson,data=data1) and I am interested in predicting the count variale for the weeks 10, 11 and

Hello, suppose one has the following values x1 <- rnorm(10,5,1) x2 <- rgamma(10,5,1) y <- rnorm(10,4,1) mydat <- data.frame(y,x1,x2) then one can use glm like mod <- glm(y~x1+x2, data=mydat, family=gaussian) But how could I estimate y_hat? Thanks alot! Sam --------------------------------- [[alternative HTML version deleted]]