similar to: Small typo in abline.R

Hello fellow R-users,   I’m stuck with something i think is pretty stupid, but i can’t find out where i’m wrong, and it’s turning me crazy!   I am doing a very simple linear regression with Northing/Easting data, then I plot the data as well as the regression line :   > plot(x=Dataset$EASTING, y=Dataset$NORTHING) > fit <- lm(formula = NORTHING ~ EASTING, data = Dataset) > abline(fit)

Hello, I'm trying to plot a fitted lm() line on a plot when the one explanatory variable is log transformed and log="x". I get different lines using abline and predict.lm(). #Example x <- 1:100 y <- rnorm(100) plot(y ~ x, log="x") abline(lm(y ~ log(x))) lines(x, predict(lm(y ~ log(x))), lwd=2) I'm sure I'm missing something but could someone tell me which

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

Dear R users, I need to plot to perpendicular straight lines. However, although I set the coefficients so that the lines are perpendicular, they do not look to be so in the plot. Here is a minimal working example: plot(x=c(-1, 1), y=c(-1, 1)); abline(a=0, b=1/sqrt(2)); abline(a=0, b=-1/sqrt(2)) Please tell me if the same problem is valid by you. I am running R-2.10.1 on Linux. Is there a way

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, is there a way to define, that a line drawn via abline() should only go from for example -2 to 1 on the x-axis (with something working similiar to xlim()) ? thanks for any help!

Hi folks, I need some help in customizing the abline() function to be used in a lattice plot. I have attached a reproducible example below. I need help in the following snippet: disc <- xyplot(cnt_gt50pct_disc ~ week_num|sku_num, data=DF,type = "h",lwd=2,panel = function(...) { panel.abline(v = 8, lty = 2) panel.xyplot(...) }) Is there a way I can give

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 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 =

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

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,

Hello there, I have some data I want to plot together with a best-fit line. (see MWE below) The points from the first plot does appear as expected, but the abline does not appear, no matter what I change. I removed the log parameter before, but the abline is a very steep line around the origin. I really want to keep the logarithmic scale, plus a working abline. Can someone help me with that?

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

Hi, With R version 2.13.0 alpha (2011-03-24 r55004), 'R CMD check' will produce the following output on some packages: * checking Rd metadata ... WARNING Error in is.function(FUN) : 'FUN' is missing Calls: print ... format.check_Rd_metadata -> unlist -> lapply -> match.fun Execution halted This is happening on packages that contain duplicated \name or

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 as I did not get any response on my post about abline and plot(augPred)) I try again. I hope I do not break some posting guide rules. I would try to contact package maintainer directly but there is stated to be R-core people, so I feel R-help list shall be OK. I need to draw straight lines through augPred plotted panels (vertical or horizontal) at specified point. I know I shall

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

I am doing very regular stuff like the following: attach(wtana) fm<- lm(Body.Wt.on.SD1~Heart.Wt, data=wtana) #fm<- lm(wtana$Body.Wt.on.SD1~wtana$Heart.Wt) lrf<- loess(Body.Wt.on.SD1~Heart.Wt, wtana) #lrf<- loess(wtana$Body.Wt.on.SD1~wtana$Heart.Wt) plot(Body.Wt.on.SD1,Heart.Wt) #plot(wtana$Body.Wt.on.SD1,wtana$Heart.Wt) #lines(spline(Heart.Wt,fitted(lrf)), col=2) abline(fm, col=4)

Hello all, I'm a new user on R, and I used the abline function to draw a line on my graph but it doesn't work with xyplot(). With the plot function, abline() is ok but with plot it doesn't make what I want. Maybe it's a little thing to change in plot() but I don't find what! With xyplot I write this : Xyplot(m~ordered(l,levels=1),