search for: ablines

if I want to specify y-coordinates for the heights of horizontal lines to go across a plot. x <- c(1,2,3,6,4,8,4,7) y <- c(3,2,7,4,5,4,5,6) h <- c(3,5,7) plot(x,y) abline(y=h) However I got error message: Warning message: parameter "y" couldn't be set in high-level plot() function (I tried abline(h=y) , it;s not what I want also) Do u know why?

My simpleminded understanding of simple regression is that when plotting regression lines for x on y and y on x in the same plot, the lines should cross each other at the respective means. But, given the R function below, abline (lm(y~x)) works fine, but abline (lm(x~y)) does not. Why? function () { attach (attitude) x <- rating y <- learning detach (attitude) plot (x, y)

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

Good morning, I have some problem adding ablines in Rstudio. The lines drew by the software doesen?t match with the added values, what can I do? pfaOK<-qcc(D[!trial], sizes=size[!trial], type="p", nsigmas=2, data.name="Polli positivi al Campylobacter") pfaOK1<-qcc(D[!trial], sizes=size[!trial], type="p", data....

R-experts, I have fitted many different lines. The fast-tau estimator (yellow line) seems strange to me?because this yellow line is not at all in agreement with the other lines (reverse slope, I mean the yellow line has a positive slope and the other ones have negative slope). Is there something wrong in my R code ? Is it because the Y variable is 1 vector and should be a matrix ? Here is the

On 31/03/2018 11:57 AM, varin sacha via R-help wrote: > Dear R-experts, > > Here below my reproducible R code. I want to add many straight lines to a plot using "abline" > The last fit (fast Tau-estimator, color yellow) will not appear on the plot. What is going wrong ? > Many thanks for your reply. > It's not quite reproducible: you forgot the line to create

I am trying to plot a line graph for 3 or more regression lines abline(m1) abline(m2) abline(m3) Can I change the color of each line? if so how? Thanks in advance Ashta [[alternative HTML version deleted]]

Hi folks Run; > ToothGrowth > attach(ToothGrowth) > toothgrowth=lm(len~dose) adding abline: > abline(toothgrowth) I got it done adding single abline. How to add more ablines on the same diagram? I found following thread, applying "mapply" command; Plotting multiple ablines http://www.mail-archive.com/r-help@r-project.org/msg51543.html mapply(abline, (converge$kY + tan((90-converge$kT) * pi / 180)*(-converge$kX)), tan((90-converge$kT) * pi / 180))...

Dear R-experts, Here below my reproducible R code. I want to add many straight lines to a plot using "abline" The last fit (fast Tau-estimator, color yellow) will not appear on the plot. What is going wrong ? Many thanks for your reply. ########## Y=c(2,4,5,4,3,4,2,3,56,5,4,3,4,5,6,5,4,5,34,21,12,13,12,8,9,7,43,12,19,21)

You need to pay attention to the documentation more closely. If you don't know what something means, that is usually a signal that you need to study more... in this case about the difference between an input variable and a design (model) matrix. This is a concept from the standard linear algebra formulation for regression equations. (Note that I have never used RobPer, nor do I regularly

The result of the code shown below is posted at the following URL: http://n2.nabble.com/Trying-to-properly-label-abline-td2524629.html I would like to figure out a better way to label the horizontal abline. I tried multiplying the text y position by a scale, but this didn't always put the text in a useful position. I guess I am curious if there is a preferred procedure for labeling the

Hi folks, I'm using R 2.5.0 under ESS under Windows XP. (This also happens using the Rgui application.) I'm trying to add lines to a plot originally made with "boxplot", but the lines appear in the wrong place. Below is a script that illustrates the problem # boxablinetest.R - script to show problem with abline on box plot x <- c( 2, 2, 2, 3, 3, 3, 4, 4, 4) y

The abline function can be used to draw the regression line when one passes the lm object as an argument. However, if it's an intercept-only model, it appears to use the intercept as the slope of the abline: mod <- lm(dist ~ 1, data = cars) plot(dist ~ speed, data = cars) abline(reg = mod) # nothing appears This behaves as documented, but might catch someone. Would it be an improvement

Dear R users, please can you help me understand the behaviour of abline using function lm. I'm trying to learn linearity over groups. So I make three groups with 10 values each: test=data.frame(cbind( l=c(rnorm(10,0,30),rnorm(10,100,30),rnorm(10,200,30)), t = c(rep(0,10), rep(1,10), rep(2,10)) )) when I do: plot(test$l~test$t) abline(lm(test$l~test$t)) the abline is a straight line

Eric Recordé un ejemplo rápido ## Setup up coordinate system (with x == y aspect ratio): plot(c(-2,3), c(-1,5), type = "n", xlab = "x", ylab = "y", asp = 1) ## the x- and y-axis, and an integer grid abline(h = 0, v = 0, col = "gray60") text(1,0, "abline( h = 0 )", col = "gray60", adj = c(0, -.1)) abline(h = -1:5, v = -2:3, col =

Dear All, I am wondering on how to use the abline.xyplot with xyplot such that I will have different vertical lines for each panel. More sepcifically, suppose that the xyplot generates 4 panels defined by the combination of two binary variables: X_1 and X_2. i.e. xyplot(Y ~ Z | X_1*X_2, data = df) I want something like: abline(v = 5) if X_1=0 and X_2 = 0 abline(v =

Hello, I managed to "linearize" my LDA decision boundaries now I would like to call abline three times but be able to specify the exact x range. I was reading the doc but it doesn't seem to support this use-case? are there alternatives. The reason why I use abline is because I first call plot to plot all the three datasets and then call abline to "append" these decision

# PROBLEM WITH ABLINE # I have a question about a seemingly imprecise abline figure which I have come accross now a few times. # After reading variables a and b... a<-c(3729,1796,1956,5177,3201,3138,4265,3042,3745,2060,5713,6811,4184,1221,4700,3171,8913,5565,5500,2428,4841,10428,11197,5946,2783,4842)

All, I'm trying to truncate some lines that are added to an xyplot via panel.abline to allow additional space for inserted text. According to ?panel.abline it seems like "from" and "to" will do the trick but it does not work for the sample code below. Any hints much appreciated. Cheers, David x = seq(1,8) y.1 = .6*x + 3.5 + rnorm(8, 0, .5); y.2 = .4*x + 1 + rnorm(8,0,

Hi folks, Win7 64bit R 1.12.0 I run following command on R:- > ToothGrowth > attach(ToothGrowth) > plot(dose,len) > matrics=lm(len~dose) > abline(metrics) Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...) : plot.new has not been called yet Only a grey diagram is displayed without content > plot(abline(metrics)) Error in int_abline(a = a, b = b, h = h, v