similar to: need help with axis ticks

Dear R Users, I am a beginner in R programming and need some help with a simple plotting problem that i am having. My dataset consist of three columns: first one has data_id, second is the date and third is the actual data itself corresponding to each date. The date ranges from 1/1/2000-12/31/2009. I am trying to plot my data versus the dates as a long term time series but

Dear List, I know this is not the first post on this topic, but I need basic help I guess. Assuming the simple case of two lines with one intercept, how can I make R calculate this intercept, NOT using locator(). par (xaxs="i", yaxs="i") plot( 1, bty="n" ,xlim=c(0,300) , ylim=c(0,300) , xlab="X", ylab="Y") curve(100-0.5*x, -50,250, add=T,

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

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,

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

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 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);

hello everyone, I working on the dataset for my project in class and got stuck on trying to run logistic regression. here is my code: data <- read.csv(file="C:/Users/fieder.data.2000.csv") # creating subset of men fieder.male<-subset(data,data[,8]==1) unmarried.male<-subset(data,data[,8]==1&data[,6]==1) # glm fit agesq.male<-(unmarried.male[,5])^2

Dear all: I fitted "Observed" into a distribution as frequency. The predicted values are calculated as "predicted" for frequency. bins is "x". I plot observed, predicted against x in a graph. the commond is here.

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. Perhaps you can help me with this: What I do is using Nagios (actually Icinga) and having checks on remote hosts executed via ssh. In order to dramatically speed checks up (from about 0,300 ms to 0,010 ms) I use ControlMaster = auto, which also makes the mux process spawned on the first check. As checks are typically sequentially scheduled I want the mux process to persist but it should

Hi all, Sorry for the re-post, I sent my previous e-mail before it was complete. I am trying to model seroprevalence using the differential equation: dP/dt = beta*seronegative*.001*(seropositive)-0.35*(0.999)*(seropositive)-r*seropositive. I would like to estimate my two parameters, beta and r, using maximum likelihood methods. I have included my code below:

Readers, For this data set: testvalues<-c(10,20,30,40) How to amend the plot instruction: plot(testvalues,ann=FALSE,type='l',yaxt='n',xaxt='n') so that x axis ticks labels can be added to existing graph with arbitrary value such as 0,100,200,300)? Thanks in advance. -- r2151

https://bugzilla.mindrot.org/show_bug.cgi?id=2000 Bug #: 2000 Summary: when using ssh with ControlMaster/ControlPersist, one may get zombie processes Classification: Unclassified Product: Portable OpenSSH Version: 5.9p1 Platform: All OS/Version: All Status: NEW Severity: major