similar to: Intercept between two lines

Dear users, I want to transfer a list of results from R to some practical format, from where I can continue manipulating, copying,... the values, e.g. : list1 <- list("My first list", matrix(1:6, ncol=3), c(1,2,3,4,5,6) ) # Imagining I forgot something and want to add it to the list like: list1[[4]] <- list(c(4,4,4), "This is it") # Now I want to transfer the list to

Dear list, I am looking for a possibility to present results in a more graphical way by adding an axis. But I have trouble relating my data to the added axis. Imagine the following example: a <- c(10, 20, 30, 40) b <- c(50, 250, 500, 600) ba <- b/a par(las=1, mar=c(5,5,.5,5)) plot(a,b, type="b", pch=22, cex=2, col=4, lwd=2, ylim=c(0,650), xlim=c(0,45)) axis(4,

hi, i am using par(mrow=c(6,6)) function to get 6x6 plots on one screen. the problem that i am having is that the axis tick labels are far away from the ticks and going into previous plots (see attached figure). i need to know how can i reduce the distance between the ticks and their values (y axis values).the part of the code that i am using (after reading in the data) to create the top row is:

Dear list, I get the ifelse function to work on a data frame but don't know how to do something similar (only more conditions) with the combination of if and else like in the example: A <- c("a","a","b","b","c","c") B <- c(rep(2,6)) dat <- data.frame(A,B) dat$C <- if(AB$A=="a") {AB$B^2} else

Dear helpers, In an attempt to use a loop to generate graphs in a for loop in run into a problem. The plan is to fill each page with eight graphs (mfrow = c(4,2)) in to two columns. Only the buttom graphs ( meaning every fourth graph) have tick labels on the x axis to preserve space. I used an if .... Else statement to achieve that. The problem is that the first eight graphs are skipped

Hi, I am new to R plot. I am trying to scale my y axis in log. When I do this I receive the following error Error in axis(side = side, at = at, labels = labels, ...) : CreateAtVector [log-axis()]: axp[0] = 0 < 0! In addition: Warning messages: 1: In plot.window(...) : nonfinite axis limits [GScale(-inf,1.31772,2, .); log=1] 2: In axis(side = side, at = at, labels = labels, ...) :

hist(rbinom(1000,10,0.5),col=2,xlim=c(0,10),ylim=c(0,300)) gives a histogram with "touching bars" hist(rbinom(100000,10,0.5),col=2,xlim=c(0,10),ylim=c(0,30000)) gives a histogram with space between the bars. is there a way to control the space betweent he bars easily? -- Erich Neuwirth, Computer Supported Didactics Working Group Visit our SunSITE at http://sunsite.univie.ac.at

Hola lista, tengo una base de datos muy grande de un datalogger. Consiste en un vector con 0's y 1's, y tengo que ver cuando hay 600 o más unos seguidos. Se me ocurrió hacerlo con un loop for. Pero tarda demasiado. También intente usar which para que seleccione solo los 1 para empezar a sumar pero no hay gran diferencia. A alguien se le ocurre alguna solución para hacerlo más rápido? Acá

Hi Hemant, Here is an example that might answer your questions. Please don't run previous code as it might not work. I define the break values as arguments to the function (rbreaks,fbreaks,mbreaks) If you want the breaks to work, make sure that they cover the range of the input values, otherwise you get NAs. # expects a three (or more) column data frame where # column 1 is customer ID,

Hey list, I have a barplot with a line plot overlayed (on the 2nd y axis) and it looks fine except that the origin (0) on the 2nd y axis (side=4) is not lining up with the origin on the 1st y-axis (side=2, from the barplot). Is there a way to either shift the 2nd y-axis (line plot) down or readjust the barplot axis? Just as a reference, here is the code: barplot2(temp$precip,

I'm getting all the rows as NA in Cscore and almost most of the observation in R and F and M are also NA. what can be the reason for this. also suggest me the appropriate solution. On 9 October 2017 at 15:51, Jim Lemon <drjimlemon at gmail.com> wrote: > Hi Hemant, > Here is an example that might answer your questions. Please don't run > previous code as it might not work.

Suppose I have the following data: y x id 44 0 104 48 58 104 48 55 204 47 105 204 41 275 206 18 67 209 ....... I fit the model >fit=lme(y~x+I(x^2),random=~1|id) Now I want to make a prediction plot: >time=seq(0,300,len=100) >plot(predict(fit,data.frame(x=time),level=0)) Very fine. It gives me the prediction curve based on the model. My further request is to make a confidence bands

Dear all, I know it is as simple as c <- (a + b)/2 to compute the average (element-wise) of two data vectors. However, I can't work out to compute the average when you have many data vectors in a directory. I have done this: ------------------------------------ setwd("/.../data/") listfiles <- list.files(pattern=".pre") # list all datafiles in the directory

Hi JM, I have no doubt that Mr. Zanelli's NEON code is faster, since hand tuned assembly is bound to be faster than using intrinsics. However I notice that his code can also read past the y buffer. Cheers, --John On 6/6/2013 9:22 PM, Jean-Marc Valin wrote: > Hi John, > > Thanks for the two fixes. They're in git now. Your SSE version seems to > also be slightly faster than

Full_Name: Thomas Richardson Version: R 2.9.0 GUI 1.28 Tiger build 32-bit (5395) OS: 10.4.11 Submission from: (NULL) (216.254.15.72) I have encountered a problem with points in scatterplots disappearing in a quartz window when it is re-sized (to make it larger). I am constructing an 8x12 matrix of scatterplots each containing approx 600 points. In order to get them in the window I remove the

I'd just like to report a possible R bug--or rather, confirm an existing one (bug #751). I have had some difficulty using the polyroot() function. For example, in Win 98, R 1.1.1, > polyroot(c(2,1,1)) correctly (per the help index) gives the roots of 1 + (1*x) + (2*x^2) as [1] -0.5+1.322876i -0.5-1.322876i However, > polyroot(c(-100,0,1)) gives the roots of [1] 10+0i -10+0i

I have found that the polyroot() function in R-1.1.1(both solaris and Win32 version) gives totally incorrect result. Here is the offending code: # Polyroot bug report: # from R-1.1.1 > sort(abs(polyroot(c(1, -2,1,0,0,0,0,0,0,0,0,0,-2,5,-2,0,0,0,0,0,0,0,0,0,1,-2,1)))) [1] 0.8758259 0.9486499 0.9731015 1.5419189 1.7466214 1.7535362 1.7589484 [8] 2.0216317 2.4421509 2.5098488 2.6615572

I don't have a logistic regression model and am trying to generate probability curves for all possible combinations of the variables. My logit model has 5+ variables, and I want to draw curves for every scenario. See code below. When home_owner is 0 and 1, I want curves. The same goes for all other variables categories, so that I have permutations for all possible combinations. I've

Hi, I just compiled samba 3.0.23 on our Sun Solaris 8 server. 3.0.22 was running fine and I used the same compiler options for 3.0.23. $ ./configure --with-acl-support --prefix=/usr/local/samba3023 --with-quotas --with-included-popt --without-ldap --with-vfs gcc version 3.4.2 GNU Make 3.80 Running make now throws a lot these warnings: [-snip-] Linking nsswitch/libnss_wins.so ld: warning:

Hi all, I used bwplot in lattice to create a 6-panel boxplot grouped by a conditioning variable (param) that displays concentration (conc) in response to treatment (trtmnt). Here is the functional part of my code followed by my three questions: library(lattice); ww<-read.csv(file="c:/Rdata/lattice_boxplot_prep.csv",header=TRUE,sep=","); attach(ww);