similar to: plot lines at 0,0 axis

Hi everyone, I have a problem with adding points to scatter plots. The plot is drawn with the scatterplot() function from the car library: scatterplot(data[,2] ~ data[,1], data=data,smooth=F,reg.line=F,xlim=c(0.5,1),ylim=c(0.5,1),ylab="ML",xlab="Freq",cex.lab=1.9,cex.axis=1.8) after that, I draw one line with abline(0,1,col="gray20") which works perfectly fine.

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,

Dear list members, When I create a simple scatterplot with a regression line (se below) the line is automatically extrapolated outside the range of data points. Why is this and how can I prevent R from extrapolating the regression line? Thank you in advance, Johan model<-lm(Herb~Para) plot(Para,Herb) abline(model)

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:

Hi, plot(xc, yc, type="l", ylim=c(0,50), xlim=c(0,50), lwd=2, xlab="M", ylab="seconds") abline(a=-think, b=cpustime, lty="dashed", col="red") abline( 2.2, 0, lty="dashed", col = "red") This draws a response time curve an asymptote and a horizontal line. How do I draw a line from the intersection of the asymptote and

Hello R-Users i'm stuck with the following problem: i want to add a trend line to a scatterplot. the x axis is a time line. well it doesnt work, it seems that the function abline is not able to handle the fact, that i used the column Date as a factor. this is the script: data<-read.table('DO_hapa_all_morning.txt',header=T,as.is=2) attach(data) names(data)

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

I've been trying to draw quantile linear regression lines across a scatterplot of my data using attach(forrq) plot(PREGNANT,DAY8,xlab="pregnant EPDS",ylab="postnatal EPDS",cex=.5) taus <- c(.05,.1,.25,.75,.9,.95) xx <- seq(min(PREGNANT),max(PREGNANT),100) for(tau in taus){ f <- coef(rq(DAY8~PREGNANT,tau=tau)) yy <-

Hi, when I run > plot.default(z1, z2, xlab = "x", ylab = "y", main = "xxxx", pch = "+") > abline(lm(z1 ~ z2)) then the plot is plotted perfectly (scatterplot), however, the lm() function doesnt appear on the plot. What could be wrong? (Yesterday it worked perfectly, with the lm() line.) Running R 2 on OS X. Mathias Hunsk??r Furevik Norway

Hi everyone I am trying to use grep in a for loop to compare a string value. It works if I use the actual index value but when I use the for loop index, it doesn't work. Any suggestions plz. Here is the code: data <- read.table(file="Sigmoid.csv", head=FALSE, sep=","); c1 <- data$V1 c2 <- data$V2 c3 <- data$V3 c1data <- data.frame(c1); c2data <-

Hello, I have done a scatterplot and now would like to add its regression line but it does not show. Below, the code I have used. lm3 <- lm(data$S_pH_KCl2.5_BCx~data$B_OleicoPF_BCx_per) plot(data$S_pH_KCl2.5_BCx, data$B_OleicoPF_BCx_per) abline(lm3) I have been able to do the complete operation using the software STATISTICA but it would be great to do it with R. If you require more details

Hi. I would like to make a scatterplot where all of the points are evenly spaced from each other - however, they are all the same size and occupy the entire graph. For example: x = rep(c(1:10), 10) y = rep(c(10:1), each = 10) plot(x, y, pch = 0) Gives me a scatter plot with 100 square points each evenly spaced between each other. But these points don't fill up the entire space and if I try

I'm using pairs() to generate a scatterplot matrix; pairs(~ Fuzzy.gray.white.ratio+Fuzzy.gw.t.score+AgeWhenTested+signal_mean.noise, data=datam,subset=status=="control",main="Controls", labels=c("G/W","Peak Separation","Age","S/N")) How can I add regression lines to the plots?

Given the following data, I want a scatterplot with the data points and the predictions from the regression. Sigma <- matrix(c(1,.6,1,.6), 2) mu <- c(0,0) dat <- mvrnorm(5000, mu, Sigma) x <- dat[,1] * 50 + 200 y <- dat[,2] * 50 + 200 fm <- lm(y ~ x) ### This gives the regression line, but not the data xyplot(y ~ x, type = c('g', 'p'),

Hi everyone I want a square scatterplot with abline(0,1) going exactly through the SW and NE corners. By "square" I mean that the plotting region is exactly square, and that the axis limits are identical. x <- 1:20 y <- x+rep(c(-1,1),10) lims <- range(c(x,y)) None of the following do this: plot(x,y) ; abline(0,1) #not square plot(x,y,asp=1);abline(0,1) #diagonal

Hello, I teach statistics and use R Commander for teaching. I have 2 students out of 169 that can't get scatterplots or plot to work. I have had them update packages, restart R/R Commander/their computers and even reinstall R/R Commander. One is using Windows 7 on a new pc and the other is a pc user (not sure the OS). They are both using R2.11.1 and R Commander 1.6-0. The data look like

Suppose x and y are numeric vectors of the same length. plot(x,y) #scatterplot lmObj1 <- lm(y~x) # best fit line abline(lmObj1) # good lmObj2 <- lm(x~y) #get best fit but with axes interchanged abline(lmObj2) # not what I want. I want the correct line, drawn on the same graph, but with # response and predictor variables interchanged One way to proceed would be to

Hi, I am trying to create a scatterplot, coding each point to one of 5 populations. I was successful when I did this for one set of data, yet when I try plotting other data a blank plot appears (although the axes are labelled and I can fit the regression lines from each population). I have tried a variety of things to fix this but nothing seems to work. I can plot the points if I do not

I would like to be able to place a normal distribution surrounding the predicted values at various places on a plot. Below is some toy code that creates a scatterplot and plots a regression line through the data. library(MASS) mu <- c(0,1) Sigma <- matrix(c(1,.8,.8,1), ncol=2) set.seed(123) x <- mvrnorm(50,mu,Sigma) plot(x) abline(lm(x[,2] ~ x[,1])) Say I want to add a normal

Hii i have been trying to do a scatter plot with ggplot2, like the plot 6 here (http://had.co.nz/ggplot2/geom_point.html) .. where the points size vary with values > p + geom_point(aes <http://had.co.nz/ggplot2/aes.html>(size = qsec)) but am not sure how to setup the parameter - qsec could anyone please give some pointers on how to define that thanks Mo. [[alternative HTML