similar to: stem - strange leaves

Hi I do not know why does it happen but you can control the behaviour by setting scale to 0.5. Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Leif Ruckman > Sent: Friday, February 16, 2018 9:18 AM > To: r-help at r-project.org > Subject: [R] stem - strange leaves > > > x > [1] 8.0 7.9 7.5 7.0 8.0 7.3 8.0

Hi Duncan The simples spreadsheet is: Put a name in the cell, let say "a1" Put number e.g. 1 below "a1" Copy the number to enough rows Select this column and press ctrl-c result is > temp<- read.delim("clipboard") > str(temp) 'data.frame': 1513 obs. of 1 variable: $ a1: Factor w/ 2 levels "1","a1": 1 1 1 1 1 1 1 1 1 1 ...

Dear all I am struggling to fit data which form something like CDF by lognorm. Here are my data: proc <- c(0.9, 0.84, 0.5, 0.16, 0.1) size <- c(0.144, 0.172, 0.272, 0.481, 0.583) plot(size, proc, xlim=c(0,1), ylim=c(0,1)) fit<-nls(proc~SSfpl(size, 1, 0, xmid, scal), start=list(xmid=0.2, scal=.1)) lines(seq(0,1,.01), predict(fit, newdata=data.frame(sito=seq(0,1,.01))), col=2) I tried

Dear all I have 3 questions. Due to some reason I switched from Vista to Ubuntu on home PC. I was used to start with Rgui.exe. However I am not able to find it under Ubuntu and R starts as terminal (probably Rterm). Question 1. Is Rgui.exe available on linux? In Windows doc folder I can find manuals, however I did not find doc folder in Ubuntu. I found somewhere that manuals need to be

Hi Petr; Thanks for your reply. It is much appreciated. A small example is given below for 4 independent and 4 dependent variables only. The values given are regression coefficients.I have looked ggplot documents before writing to you. Unfortunately, I could not figure out as my experience in ggplot is ignorable Regards. Greg y1 y2 y3 y4 x1 -0.19 0.40 -0.06 0.13 x2 0.45 -0.75 -8.67 -0.46 x3

Hi Petr; Thanks so much. Exactly this is what I need. I will play to change color and so on but this backbound is perfect to me. I do appreciate your help and support. Regards, Greg On Thu, Feb 8, 2018 at 1:29 PM, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hi > > I copied your values to R, here it is > > > > > dput(temp) > > > > temp <-

Hi > -----Original Message----- > From: Robert Baer [mailto:rbaer at atsu.edu] > Sent: Wednesday, August 16, 2017 3:04 PM > To: PIKAL Petr <petr.pikal at precheza.cz>; Duncan Murdoch > <murdoch.duncan at gmail.com> > Cc: r-devel at r-project.org > Subject: Re: [Rd] strange behaviour read.table and clipboard > > You said, "put a name in the cell".

Dear all I used to transfer data from excel to R by simple ctrl-c and read.delim("clipboard") construction. I know it is a bad practice but it is easy and for quick exploratory work it is OK. However after changing to new R devel few days ago I encountered weird behaviour. I tried one or two columns. In case of 2 columns, header is repeated after 526 items >

Hi Petr; I would like to get a plot with names as they are in the original file. They are chemical names and I have 733 in the my file. For example, let me give to chemical names "*2-hydroxybutyrate/2-hydroxyisobutyrate*" and "*palmitoyl-arachidonoyl-glycerol (16:0/20:4) [1]**" .So, what should I put [c(2,3,1)] part in the command: iris$MySpecies<-factor(iris$Species,

Hello, I am trying to use varcomp to decompose the variance across multiple nested levels on a lme object. I am able to successfully do this and when I view the varcomp object I can see the individual values / estimates for the variance at different levels. However, I want to be able to extract each of them separately, as I need to build a confidence interval using bootstrapping on the sample

I did the same transition, facing the same issues, so I settled for installation of RKWard. This pretty much reproduces my previous experience with Tinn-R and the Rgui. HTH Ruben ________________________________ Ruben H. Roa-Ureta, Ph. D. Senior Scientist, Center for Environment and Water, Marine Studies Section, King Fahd University of Petroleum and Minerals, KFUPM Box 1927, Dhahran 31261,

How about proc <- c(0.9, 0.84, 0.5, 0.16, 0.1) size <- c(0.144, 0.172, 0.272, 0.481, 0.583) plot(size, proc, xlim=c(0,1), ylim=c(0,1)) fit<-nls(proc~plnorm(size, log(xmid), sdlog, lower=FALSE), start=list(xmid=0.2, sdlog=.1)) summary(fit) lines(fitted(fit)~size) -pd > On 10 Jul 2017, at 16:27 , PIKAL Petr <petr.pikal at precheza.cz> wrote: > > Dear all > > I am

Hi all; I have 733 discrete categories that will go on y-axis in ggplot2. I used the following command to put the name of x-axis. scale_x_discrete (limits = c("SI", "HOMAIR", "AIR","HOMAB","SG","DI","FI","FG")) Since there are only 8 categories on x it was easy to do. Is there any way to do the same for 733 discrete

Dear friends - I have a data.frame with "," instead of "." and found the discussion http://r.789695.n4.nabble.com/How-to-replace-all-commas-with-semicolon-in-a-string-tt4721187.html#a4721192 so copying the code of Ulrik(I hope:-)) I tried (making some data) AX <-

Hi Peter; The R code you provided works very well. Once again thanks so much for this. The number of variables in my data set that should appear on the y-axis is 733 and they are not numerical (for example the name of one variable is *palmitoyl-arachidonoyl-glycerol (16:0/20:4) [1]**. So, the plot looks very messy in one page. How can I make the plot to print out on multiple pages? Regards,

Q1. No. Q2. What do you do? Did you follow the instructions at [1]? If you go to the top level of the R help system you should be able to open the manuals. ?help Q3. Not that I know of. If you have difficulty with R on Linux then you should focus on learning how to use Linux in general... and learn what X-Windows is. But just as with Windows, googling your problem will usually lead to stepwise

Hi all, ok I have this issue: I want to change my graphs legends to custom text, often requiring the use of superscripts/subscripts I tried to use this instruction I found on stack overflow: labs(x = "R(Ohm)", y= "CDF", aesthetic= " Content (%)" ) but it wont' seem to work. Also tried bquote for super/ subscripts xlab(bquote(~x~/(~x~ + ~MO[2]~)*

Thanks for your replies. I tried the regression, but then got a NA value for the slope. And here is the error message: Coefficients: (1 not defined because of singularities) On Thu, Jun 15, 2017 at 12:20 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote: > Hi > > But X can be some function like - sin, cos, log, exp... > > Cheers > Petr > > > -----Original

Generate a clustered pattern in [0; 1]2 as follows: (a) Generate nc, say 20, independent cluster centres (which can be called parents) that are distributed i.i.d. uniformly in the unit square; (b) then n daughters are assigned i.i.d. uniformly to these parents and such that each daughter is located i.i.d. uniformly in a disk of radius r = 0:1 centred at her parent, under the periodic boundary

Hi Maybe there are other ways but I would split data to several chunks e.g. in list and use for cycle to fill multipage pdf. With the toy data something like library(reshape2) library(ggplot2) temp <- melt(temp) temp.s<-split(temp, cut(1:nrow(temp), 2)) pdf("temp.pdf") for (i in 1: length(temp.s)) { p <- ggplot(temp.s[[i]], aes(x=par1, y=variable, size=abs(value),