similar to: categorical variable in scatterplot (car)

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).

Hi All. I'd like to change the default plotting colors used to construct a scatterplot with regression line in the CAR package. So, scatterplot(y~pred,smooth=FALSE, xlab="X", ylab="Y", lwd=2) If I change the palette (e.g., palette(ranbow(6)), I can change the color of the lines and points. However, the axes and labels remain in black (i.e., the first color in the

I am trying to use scatterplot function in CAR like the following: scatterplot(X~Y) I want to label X points and Y ponits using the different color. Any idea for this? Aimin

Network Blitz I'm trying to generate a graph to summarize Interest Rate Parity. This involves a scatterplot of x against y where the x and y limits are set so to center the graph on 0,0 and then adding each axis line and a 45 degree line. Using CAR's scatterplot (sample code below) everything except the axes plot fine: scatterplot( Interest.Rate.Dif ~ ForPrm| profit,

Hello all! System: R2.0.1, W2k. All packages apdated with update.packages(). I use the default graphic device for my system (no active choice). I?m trying to fine-tune scatterplot() graphs (package car), for publication. I want to control plotting symbols and colours to match plots from other, less flexible, systems. I also need to make all text and symbols bigger, to enable printing of the

scatterplot() is autogenerating a regression and loess line. I want to remove the loess line, but can only find samples for how to add it. I definitely do not have code that adds it (see below), so I am puzzling... scatterplot(Aroused ~ anxious | group, data=data, xlab="Aroused", ylab="Anxious", main="Arousal and anxiety ratings", xlim=c(0.5, 9.5),

Hi Folks, Please, when I ask the option reg.line at the scatterplot in package car, the OLS models includes a constant? If not how can I do it sing the following code: scatterplot(lfirms ~ lscale, data=dataset, reg.line=lm, smooth=FALSE, labels=FALSE, span=0.5, xlab="Relative Plant Fixed Cost", ylab="Relative Number of Firms", pch=c(18),

hi, new to R and using the car package to do some scatterplots with ellipses hoping to add the area and center points of each ellipse to the legend? looking for some direction / ideas.... here is the script, the data is where golf shots end up by club. x (dispersion), y (distance), group (Club) thanks, sam ## usage: Rscript shotScatter.R infile outfile level1 level2 minX maxX minY maxY

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

R version 2.11.1 on WinXP How do I get 3 scatterplots with marginal boxplots (from the car package) onto a single plot? I have a data frame called bank > dim(bank) [1] 46 5 head(bank) x1 x2 x3 x4 pop 1 -0.45 -0.41 1.09 0.45 0 2 -0.56 -0.31 1.51 0.16 0 3 0.06 0.02 1.01 0.40 0 4 -0.07 -0.09 1.45 0.26 0 5 -0.10 -0.09 1.56 0.67 0 6 -0.14 -0.07 0.71 0.28 0

Hi, using scatterplot in 'car' package. There are 4 plots to be pictured together (ignore data used): library(car) par(mfrow=c(3,1)) ts.plot(rnorm(100)) ts.plot(rnorm(100)) scatterplot(rnorm(100),rnorm(100),boxplot="",smooth=T) # scatter with non-parametric fit problem is that the last one comes 'always' separate. Is there any way to solve it?? of course can use

Hi, I am a new R user. I am using it develop regression models with categorical variables. Is there a way to force some regression coefficients to be zero for some of the values in a categorical variable (with 12 factor levels)? I am recoding the values to the default value (1st in the order of dummy's). But I am not sure if this is the correct approach if I want to force coefficients to be

What ways are there to plot categorical vs numerical data in R. I have two columns: one with categorical data in 5 categories a,b,c,d,e, and a numerical column with integers between 1 and 100. I have used a boxplot with a,b,c,d,e on the x-axis and an increasing numerical scale on the y-axis. This look fine but im looking for other ways to present the data. What other ways can i do this??? --

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

I currently have a data set in which gender is inputed as "Male" and "Female" , and I'm trying to convert this into "1" and "0". I found a website which reccomended using two commands: data$scode[data$sex=="M"] <- "1" data$scode[data$sex=="F"] <- "2" to convert to numbers, and: data$scode <-

Hi all, This is probably going to come off as unnecessary (and show my ignorance) but I am trying to understand the parameter estimates I am getting from R when doing an ANCOVA. Basically, I am accustomed to the estimate for the categorical variable being equivalent to the respective cell means minus the grand mean. I know is the case in JMP - all other estimates from these data match the

Hello R users, I have some troubles to modify the "per default" legend in the scatterplot.matrix using the car package. Here is my code: -------------------------------------------------------------------- scatterplot.matrix(~ a + b + c, groups=treatment, by.groups=F, data=newfile3, smooth=T, pch=c(16,4), cex=1.3,

hello, ladyes and gentlemans. check this: means<-c(4,6,8) stand.error<-c(0.1,0.3,0.5) now i've strongly tryed to scatterplot the means(y-axis),by showing their sd with the arrow(..,code=3,angle=90) function. The problem is that my x-axis has categorical values (say, factor(x)), and the arrows() can't recognize them as right coordinates. ????? thank you all in advance B.F. insubria

Hi All, I'm trying to do a Scatterplot (package: car), and add a line (just for reference). There is my code: #------------------------------------Code--------------------------------------------------- library("car") library("calibrate") G_T<-c("car","bike","boat") ave<-c(80,10,45) perf<-c(100,80,75) df2<-data.frame(G_T,ave,perf)

Hi R-listers, Q1) What is the difference between the scatterplot and plot function? Q2) I am able to make a graph with the scatterplot function: scatterplot(DevelopIndex ~ Veg, + data = Turtle, + xlab = "Vegetation border (m)", + ylab = "Embryonic development index") And have been successful. But I do not know if the lines are for: