similar to: Adjust barplot to the left

Hello, I created an empirical distribution function: x = c(1.6,1.8,2.4,2.7,2.9,3.3,3.4,3.4,4,5.2) F2.5 <- ecdf(x) plot(F2.5, verticals= TRUE, do.p = TRUE, lwd=3, ylab = "f(x)", xlab = "x", main = "Figur 2.5 Empirische Verteilfunktion", xlim = c(1,5.5)) abline(h= (0:5)*0.2) Now I would like to label the points on the

Hi, I've got the following edf: *** x = c(1.6,1.8,2.4,2.7,2.9,3.3,3.4,3.4,4,5.2) F2.5 <- ecdf(x) plot(F2.5, verticals= TRUE, do.p = TRUE, lwd=3, ylab = "", xlab = "", xlim = c(1,5.5)) abline(h= (0:5)*0.2) #mean abline(v=mean(x), lwd=2) mtext(text=expression(bar(x) == 3.07), side=1, adj=0.462, padj=3, cex=1) *** Now I would like to

Hello, Does anyone know if it's possible to change the text direction of mtext? I'd like to use 'mtext(side=2)' but the text should be 'left-to-right'. I couldn't find an argument for that in the help files. Thanks for any suggestions Tobias -- View this message in context: http://www.nabble.com/changing-text-direction-of-mtext-tf4321931.html#a12307342 Sent from

Hi list members I have a vector of strings x=c("w","ex","ee") And I want to get a logical vector showing the positions where my search string "e" matches the elements partially, i.e. is at least the left-hand part of the target strings, i.e. I want to get a vector FALSE TRUE TRUE. Any ideas? Thanks Steve Powell proMENTE social research research |

Hello, I get a nice looking barplot using the barplot2 function in the gregmisc package: body2 <- barplot2(hh3, beside = TRUE, col = c("mistyrose", "lightcyan"), .... cex.names = 1.0, plot.ci = TRUE, ci.l = cil, ci.u = ciu, plot.grid = TRUE) box() However, obviously I lose the collors when converting from ps to a pdf (outside of R)

Hello all, Hoping that there is a fairly simple solution to my query... I'm trying to overlay a line plot of some data onto a barplot of different data. The y-axes are different for each set of data but the x-axes are the same (1:12, corresponding with 12 months of observations). The problem I'm having is that the centre of the bars and the points on line don't match up, which is

I am trying to make a barplot with a broken axis using gap.barplot (in the indispensable plotrix package). This works well when the data is a vector: > twogrp<-c(rnorm(10)+4,rnorm(10)+20) > gap.barplot(twogrp,gap=c(8,16),xlab="Index",ytics=c(3,6,17,20),ylab="Group values",main="Barplot with gap") But when the data is an array (for a bar plot with multiple

I am creating a side-by-side histogram using "multhist" of PLOTRIX. However, I can't seem to control the X-axis. It yields the following X points in the axis: 1 3 5 7 9 13 17 21 25 29 33 with uneven spacing between x-ticks (see attached file). Especially I want to create a bar for every x-axis (1,2,3,4...36), now not every x-axis has a bar. Is there a way to alter my following

Dear useRs, I'm having troubles with using ylim in barplot(): even though I reduce the y-scale using ylim, the bars still extend down to 0into the x-labels. The sample data is below, and here is the code. #This works fine but I would like to plot only from 50 to 70: barplot(t(mydata), beside=TRUE, col=c("orange", "green", "yellow", "purple"),

My input file: [code] Number of Z Number of Data1 Data1 % Number of Data2 Data2 % 0 704512099 99.74% 704423913 99.73% 1 1550142 0.22% 624685 0.09% 2 164297 0.02% 145942 0.02% 3 21515 0.00% 81941 0.01% 4 9238 0.00% 59188 0.01% 5 10501 0.00% 49658 0.01% 6 6376 0.00% 43846 0.01% 7 5000 0.00% 40841 0.01% 8 6433 0.00% 34587 0.00% 9 4755 0.00% 33504 0.00% 10 4091 0.00% 33285 0.00% 11 3429 0.00% 33837

Thank you David, That's a nice workaround using plotrix::barp(), but that doesn't explain why ylim doesn't work as intended (or at least, as I expect it to work), or why xpd has no influence when using devEMF::emf()... The problem with saving directly in RStudio is that it requires to manually save the plot, and this becomes troublesome when there are a lot of plot commands in a

Hi All, I am in the annoying position of having to present some data to someone who seems to be somewhat less than numerate. I need to label the y-axes of a multhist with the y-axis labeled not as counts but as percentage of a population. Plotting the standard histogram is in a way fine, all I need is to: -- have a left-handside y-axis labels for pop 1 and a right-handside y-axis labels for pop2

If you are using a Windows system, you can Export the plot from RStudio and save it as a metafile without using package devEMF and it will crop the bars with xpd=FALSE. When I used devEMF on a Windows machine, the bars were not cropped with barplot() as you indicated, but when I switched to plotrix::barp() they were cropped. The arguments are a bit different, but I did not need xpd=FALSE:

Goodmorning to everyone, I am trying to create a clustered barplot for the following 2 variables who have more cases but as an example i am giving you 10 items: sex聽 socio-economic status 1聽聽聽聽 1 2聽聽聽聽 2 2聽聽聽聽 2 2聽聽聽聽 3 2聽聽聽聽 2 1聽聽聽聽 4 1聽聽聽聽 1 1聽聽聽聽 1 2聽聽聽聽 3 2聽聽聽聽 1 where sex: 1:man, 2:woman 聽聽聽聽聽聽聽聽聽聽 socio-economic status:1:Low, 2:Medium, 3:High, 4:Very High Does anybody came across with a

Hi all, Please consider the following code: require(plotrix) l <- list(rnorm(50),rnorm(50,sd=2),rnorm(50,mean=3)) multhist(l) I have two things I need help with: (1) In the output, there are empty spaces on the x-axis. How would I eliminate these spaces? I want a nice, smooth, empty-spaceless x-axis. (2) How could I add tracing lines to each histogram? I am undoubtedly using the wrong

Hi, I found some weird behavior of the function multhist in the plotrix package and I would like to ask you about it: so, it works well to put two histograms next to each other, but I don't understand the breaks… so for example, library(plotrix) mh <- list(rnorm(200, mean=100, sd=10), rnorm(200, mean=100, sd=10)) multhist(mh) #produces a plot with

Hello, I have got another problem. I wrote a function which is able to create plots with different numbers of bars. In order to give them a similar look I determined the width of the bars using the parameters width=0.59 AND ylim=c(0,10)) (see function below) Now, this only works if I have just got up to 6 double bars. In the following example it doesn't work because the bars for the

Dear R Community, I recently read an article and found a plot as attached. It has scatterplot, barplot, and error bar. Could anyone help me to figure out what package I can use in R to generate such plot? Thank you very much for any inputs! Kind regards, Ace -------------- next part -------------- A non-text attachment was scrubbed... Name: Screen Shot 2018-02-04 at 6.38.14 AM.png Type: image/png

Dear list, My query follows on from a question I posted a few days ago. I have the following 2 sets of data: wetMeans[1] 9.904762[2] 6.344828[3] 6.346154[4] 6.855769[5] 9.074324[6] 9.953988[7] 13.482966[8] 14.546053[9] 10.841584[10] 9.752033[11] 6.739336[12] 8.955056burnMeans[1] 0.06214286[2] 0.05396552[3] 0.04096154[4] 0.05302885[5] 0.05831081[6] 0.07392638[7] 0.29969940[8] 0.25596217[9]

Hi, I have just started using R. Now I have the following problem: I want to create an Empirical Cumulative Distribution Function and I only came so far: F10 <- ecdf(x) plot(F10, verticals= TRUE, do.p = TRUE, lwd=3) x=c(1.6,1.8,2.4,2.7,2.9,3.3,3.4,3.4,4,5.2) Now I'd like to use arguments such as xlabs and main but I don't know how to integrate them. I hope someone can help me, I am