similar to: Adding Lines to Plot

On the cover of Zivot and Wang's Modeling Financial Time Series with S Plus, there is a correlation plot that seems to indicate the strength of correlation with color-coded squares, so that more highly correlated stocks appear darker red. If anybody out there is familiar with the book or understands what I am talking about, I am curious as to whether or not there is a similar function in R

When I run a linear regression and include a variable in the regression with as.factor i.e. lm(y ~x +as.factor(x1) and i read the output as as.factor(x1)1.... as.factor(x1)2... etc. how do i interpret the estimate for each level? Is this simply to be regarded as a shift in the equation predicted by the intercept and independent variable x? jdr -- Justin Rapp 409 S. 22nd St. Apt. 1

All, Happy World Cup and Wimbledon. This morning finds me with the first of my many daily questions. I am running a ks.test on residuals obtained from a regression model. I use this code: > ks.test(Year5.lm$residuals,pnorm) and obtain this output One-sample Kolmogorov-Smirnov test data: Year5.lm$residuals D = 0.7196, p-value < 2.2e-16 alternative hypothesis: two.sided Warning

Hi, Is there any equivalent of type="n" when constructing barplots which will still construct the axes (plot=F, as it says doesn' plot anything at all). Alternatively I tried setting col="white" and border="white" but the border command does not seem to be operational. True?? Any other ideas? What I'm actually trying to do is construct vertical abline()'s

I have a vector containing players' weights. When I enter mode(data.linear$Weight) "numeric" is returned. When I type mean(data.linear$Weight) NA is returned. Any ideas as to why this may be the case? I am trying to calculate this ultimately so I can superimpose a normal density line over a histogram containing the weights?

Please can you send me some orientation? Many thanks in advance. Only if posible one book o similar example to understand why it is not what I try. El 8 jun. 2017 7:50 PM, "Pedro p?ramo" <percentil101 at gmail.com> escribi?: > Many thanks Jim. > > What I,m trying to show with the fhist plot is the empirical distribution > of the values of the left plot simulation.

I am performing this sequence barplot title legend abline When abline renders the lines they appare to be in the layer above the bars in the graph. Is there a way to make them render first or 'behind' the bars? Thanks.

Many thanks Jim. What I,m trying to show with the fhist plot is the empirical distribution of the values of the left plot simulation. You say: However, I don't think that this plot illustrates quite what you think it does. Can you give me a clue to try to illustrate better if it is not showing what I believe it shows a better way to show it? Many thanks in advance. El 7 jun. 2017

Dear people, I created a plot which looks like this: Ee1<-matrix(c(88,86,74,62,41),ncol=5) colnames(Ee1)<-c("Lehrer","Lehrerinnen","Klassenkollegen","Klassenkolleginnen","Geschwister") par(las=1) par(mar=c(5,13,4,2)) barplot(Ee1,horiz=T,col="grey85",border="NA",xlim=c(0,100),axes=F) axis(2,pos=10, tick=T, tcl=F,

Dear R-helpers, I would like to draw white lines in my barplots to improve the visualization. I include an example: barplot(sample(1:100,15),width=0.59,horiz=T,col="steelblue",border="NA",axes=F,ylim=c(0,10),xlim=c(0,100)) abline(v = seq(10, zehnind, by = 10), col = "white") axis(1,at=ticks,las=1,labels=paste(ticks,"%",sep="")) my problem is,

Hi all, I improved a function drawing horizontal histograms (code below) which uses barplot and works fine. It does,however, need to assign a function to the global environment to later find the actual location on the vertical axis, and not the number of bars used by barplot. Hopefully, running the examples below will illustrate that. As said, it works perfectly fine and does exactly what I

All, I have: x <- matrix(c(22,3,6,69,9,4,7,81,23,4,22,50),nrow=3,byrow=TRUE) rownames(x) <- c("Cold or flu","Headache","Backache"); colnames(x) <- c("Went to doctor","No response","Did nothing","Self-medicated") x <- t(x) print(x) barplot(x,beside=TRUE, ylim=c(0,90), xlab="Ailment",

Hello, I have used the following data to draw my barplot: BL LR Q 36.35 1.00 1.92 36.91 4.00 0.00 25.70 6.00 0.00 34.38 3.00 1.92 05.32 0.50 0.00 BL<-c(36.35, 36.91, 25.70, 34.38, 05.32) LR<-c(1.00, 4.00, 6.00, 3.00, 0.50) Q<-<(1.92, 0.00, 0.00, 1.92, 0.00) barplot(dt$LR, main='LR Value', col='orange', border='black',

Hi, I'm trying to customize a window with 2 graphs. I'm able to do the first one with something like this general example par(mfrow=c(1,2),cex.axis=0.85,cex.lab=0.80,mai=c(1.3,1,0.5,0),las=3) bplot<-barplot(bar.values,names.arg=cf.names,width=0.5,ylab="% Area held") abline(h=0.3,lty=3,col="red") abline(h=0.1,lty=3,col="blue")

hi, I need to draw a line joining graphs,but abline stops within a graph.What do i do to cover portions between two graphs -- Rajesh.J [[alternative HTML version deleted]]

Hi Pedro, If you keep that same margins for the second plot: par(mar=c(10,0,6,6)) barplot(fhist$counts,axes=FALSE, space=0,horiz=TRUE,col="lightgray") it looks reasonably well aligned to me. Because you are plotting the counts of the values in Simulation, the ordinate (vertical axis) of the bar plot is in quite different units from that of the plot on the left side. Jim On Wed, Jun

Hi, I am working on barplot. I need to plot x-axis but scale on x axis is very upto 15 while my data is upto 19. pdf("image.pdf", width=10 , height =13) par(mar=c(5,22.5,2,2)) barplot(t(data[,2:3]), beside=TRUE, col=c(rgb(.537, .769, .933),rgb(.059, .412, .659)), width = 1, horiz=TRUE,cex.names=.9, border ="white",las=1, cex.axis= 1, cex.lab=1.2)

Dear List: I am working to generate graphs for individual students that will be created through a series of loops in Sweave. Before doing so, I am still trying to design the graph. The code for creating the barplot is below with some sample datapoints just made up for now. Ultimately, this chart will take data from an lme object using longitudinal student data. So, the dots represent the

Hola. Siguiendo a Mittal (2001); R Graph Cookbook creo haber logrado construir el gráfico de barras que buscada. La matriz que utilizo para el "height" va adjunta. Y mi sintaxis: barplot(t(barras), col=col.segmentos, border=F , names.arg=Meses, las=2, cex=.75, cex.axis=0.8 , ylab="% del Segmento sobre el Total") legend(.5, .2, ncol=5, cex=.75,

Dear R-community, using R.2.9.1, how do you put reference lines or grids into the _background_ of a plot? For example: barplot(3:1) abline(h = seq(0.5, 2.5 ,0.5), col = "red", lty = "dashed") -> The lines are before the bars (and the line parts going through the bars might be considered as "chart junk", I suppose). Now, in this toy example I could just do the