similar to: Quanteg problem in R

Dear all,  Who will bail me out. Iam using R with S-Splancs. Anytime i typed in the syntex, an error will appear eg setwd("C:\\TEMP) >dat <- read.table(cheshire_fmd.cvs",header=TRUE, sep=",") > dat.<-read.table(''chesire_fmd.cvs'',header=TRUE,sep='',) Error: unexpected symbol in "dat.<-read.table(''chesire_fmd.cvs" >

Hi is it possible to fit a trend line (or some other panel function) through each of multiple data series plotted on the same graph? Specifically, while one can do something like xyplot(a+b+c~x) which plots three series, a,b & c, but can one automatically fit lines through each of them? I suppose one could generate three more variables afit, bfit, and cfit with a model & predict and

Dear all, thanks for your feedback so far. With the help of a colleague I think I found the solution to my problem: > pt(10,100,lower=FALSE) [1] 4.950844e-17 IS *NOT* EQUAL TO > 1-pt(10,100,lower=TRUE) [1] 0 This means that R is capable of providing p-values < 2.2e-16, however, if the value is used in a substraction or addition then the default value of the machine epsilon

Dear All, I have searched the following problem in the R help achives, and there did not seem to be solutio for it. The problem is how to break the axis in the xyplot (lattice plot). I read the posts using the package plotrix, buy it doesn't work with the xyplot, which is lattice based. A simple example is attached below: xyplot(c(1:10,100)~c(1:10,100)) What I would like to do is

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### In version 0.99.0 for Windows NT I get the following: > .Random.seed [1] 0 21012

Correct the order of the parameters for MENU RESOLUTION. Update references. Rewording. Typos. diff U3 /syslinux-6.03/doc/menu.txt /syslinux-6.03-next/doc/menu.txt --- /syslinux-6.03/doc/menu.txt Mon Oct 06 19:27:44 2014 +++ /syslinux-6.03-next/doc/menu.txt Wed Jun 24 01:28:49 2015 @@ -5,35 +5,38 @@ +++ THE ADVANCED MENU SYSTEM +++ The advanced menu system, written by Murali Krishnan

Dear useRs, First off, sorry about the long post. Figured it's better to give context to get good answers (I hope!). Some time ago I wrote an R function that will get all pairwise interactions of variables in a data frame. This worked fine at the time, but now a colleague would like me to do this with a much larger dataset. They don't know how many variables they are going to have in the

Hello, I have a question about the y-axis of plots. Actually I had about 60 values. About 80 percent of these values are less than 0.2, then the other 20 percent values are more than 4,max is 10. So when I plot these values together, the y-axis's range will go 0 to 10, and my major values (80% values <0.2) will be pressed around 0 on the bottom, while other several dots will scatter in

Dear R users, I have two nonlinear equations, f1(x1,x2)=0 and f2(x1,x2)=0. I try to use optim command by minimize f1^2+f2^2 to find x1 and x2. I found the optimal solution changes when I change initial values. How to solve this? BTW, I also try to use grid searching. But I have no information on ranges of x1 and x2, respectively. Any suggestion to solve this question? Thanks, Kate

Dear R gurus, I am trying perform what I believe will be a pretty simple task, but I'm struggling to figure out how to do it. I have two vectors of the same length, the first is numeric and the second is factor. I understand that tapply is perfect for applying a function to the numeric vector by subsets of the factors in the second vector. My issue is trying to make use of two other vectors

Dear Sir, Please excuse my akwardness as I a new to R and computers, but would kindly appreciate help. { a <- sample (1:10,100,replace=T ) b <-sample(10:20,100,replace=T) c <- sample(20:30,100,replace=T) d <- sample(30:40,100,replace=T) e <- sample(40:50,100,replace=T) } d1 <- a d2 <- b d3 <-c d4 <- d d5 <- e data.frame(d1,d2,d3,d4,d5) dd <-

Hi there! I''ve using HTB for a while and now I an faced with a ''problem''. How hierarchical is HTB? Let''s say I have this 3 layer HTB setup: root class 1: (rate=100, ceil=100) 1: children classes 1:10 (30,100) and 1:20 (70,100) 1:10 children classes 1:100 (10,100) and 1:101 (20,100) 1:20 children classes 1:200 (30,100) and 1:201 (70,100) I managed to have

Hi. I am new to R and facing a problem that I cannot solve. I am writing some basic functions. Then I would like to have a master function that allows me to call one of the functions which I created, but I cannot figure out how to do so. Below is an example. The functions rnormIra and runifIra both seem to work fine. I do not get an error message when entering the definition of the master

Hi all, I'm having problems trying to export binary arrays from R and importing them into fortran (linux openSUSE 10.3 (x86_64), gfortran compiler, fortran 90/95 program). Let's say the problem can be expressed as: R part ------------ >whini <- runif(1000) >writeBin(whini,"fwhini.dat") f90 part ------------ PROGRAM foo INTEGER, PARAMETER :: DP = KIND(1.0D0) INTEGER ::

Hi all, I am extremely newbie to R. Can anybody jump-start me with any clues as to how do I get a cumulative histogram from two independent variables, cumhist(X,Y) ? -jose [[alternative HTML version deleted]]

Hello, Can you tell me what R function to use to do a two-sample chi-squared test? I want to see if two distributions are significantly different from each other, and I don't specify the theoretical distribution of either. For example, I have the following fake count data: x <- sample(1:10,50,replace=TRUE) y <- sample(1:10,100,replace=TRUE) I saw chisq.test in the stats package, but

I'm trying to figure out how to plot basic utility maximization results with R, Ideally I'd like to plot the value of u through x1,x2 space, so you can graph income / substitution effects easily... also, it'd be nice if I could put a linear budget constraint on the graph here's an example with cobb douglas utility u <- function(x) { x1 <- x[1] x2 <- x[2]

I wish to display a single-panel Lattice figure with grouped data and fitted regression lines. I don't seem to be able to get the individual regression lines to display, e.g.; d <- data.frame(q = rep(1:6, each=10), cc = rep(seq(10,100, 10),6)) # create data frame with group identifier 'q', independent variable cc d$ba = d$q*0.1*d$cc + 5*rnorm(nrow(d))

I am trying to code the following excel formula in R. a b c Result Formula 1 10 0.1 #N/A IF(B2<20,NA(),C2+IF(ISERROR(D1),0,D1)) 2 20 0.2 0.2 IF(B3<20,NA(),C3+IF(ISERROR(D2),0,D2)) 3 30 0.3 0.5 IF(B4<20,NA(),C4+IF(ISERROR(D3),0,D3)) 4 40

Dear R-ers, I have a loop below that loops through my numeric variables in data frame x and through levels of the factor "group" and multiplies (group by group) the values of numeric variables in x by the corresponding group-specific values from data frame y. In reality, my: dim(x) is 300,000 rows by 100 variables, and dim(y) is 120 levels of "group" by 100 variables. So, my