search for: 0.002

OK, Let's try this again! Here is the reproducible script; it is long because I had to copy the panel dataset here. My question is related to systemfit; I don't know how to get the result for the entire panel. #Reproducible script Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv") View(Empdata) install.packages("systemfit")

Sadly you failed to set your email program to send plain text and the data is corrupted at my end. I also think you need to reduce the size of the data set... the intent here is to increase your understanding, not debug your particular analysis. I will say that I am having a very challenging time understanding what you are trying to accomplish though. What are the equations that you think need

I can't get my simultaneous equations to work using system fit. Please help. #Reproducible script Empdata<- read.csv("/Users/ngwinuiazenui/Documents/UPLOADemp.csv") View(Empdata) str(Empdata) Empdata$gnipc<-as.numeric(Empdata$gnipc) install.packages("systemfit") library("systemfit") pdata <- plm.data(Empdata,

... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal. On May 15, 2018 7:04:31 AM PDT, Bert Gunter

Unless there is good reason not to, always cc the list -- there are lots of smarter folks than I on it who can help. I may or may not have time to look at this. Hopefully someone else will. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip

I am doing multiple imputation with Hmisc, and can't figure out how to replace the NA values with the imputed values. Here's a general ourline of the process: > set.seed(23) > library("mice") > library("Hmisc") > library("Design") > d <- read.table("DailyDataRaw_01.txt",header=T) > length(d);length(d[,1]) [1] 43 [1] 2666

dear group, i have 100 files starting with 'hsa-*'. ex. file: fruit p-value ------------ apple 0.0003 orange 0.004 kiwi 0.0003 peach 0.0004 I want to read all these files and create a single matrix. here each file may have different fruit names. in the matrix i want to have a union of all fruits and those should be the rows in the matrix and file names should be columns.

Folks, The contour() function wants x and y to be in increasing order. I have a situation where I have a grid in x and y, and associated z values, which looks like this: x y z [1,] 0.00 20 1.000 [2,] 0.00 30 1.000 [3,] 0.00 40 1.000 [4,] 0.00 50 1.000 [5,] 0.00 60 1.000 [6,] 0.00 70 1.000 [7,] 0.00 80 0.000 [8,] 0.00 90

I want to use persp to graph my data and it keeps giving me the error increasing 'x' and 'y' values expected, even though my data is in increasing order with respect to x and y. Here is the code I'm currently using: bob= scan ("SBA3dataTaxonB.txt",what="char") labels = bob[1:3] bob=bob[-c(1,2,3)] bob=as.numeric(bob) bob=array(bob,dim=c(3, length(bob)/3))

Folks, A few days ago, I had asked a question on this mailing list about making a contour plot where a function z(x,y) is evaluated on a grid of (x,y) points, and the data structure at hand is a simple table of (x,y,z) points. As usual, R has wonderful resources (and subtle complexity) in doing this, and the gurus of the list showed me the way. Here's a complete working example. One might

Regardless of which version -- 1.1.1 or 1.2.0 (2000-11-27) -- with a fresh "directory" (i.e. no .RData), I am getting an extremely weird result. R : Copyright 2000, The R Development Core Team Version 1.2.0 Under development (unstable) (2000-11-27) > jj _ seq(0.05,0.95,by=0.002) > sum(jj==0.75) ## WRONG ANSWER [1] 0 > 0.05 + 350*.002 ## Double check that 0.75 is in jj [1]

Hi R user I need to read in some values from a computer program output. I can't change the output format because the developer of the program doesn't allow to change the format of output. There are two formats. First one looks like this if I have 10 variables, ------------------------------------------------------------------------------------------------------ [ 1]

I am having a problem with the foreign library correctly reading some integer data. Specifically, d _ read.dta('aptaa.dta') > d[1:5,] scenario metcode yr ginv cons gocc abs dvac gmre gmer 1 1 AA 2002 0.007 1377 -0.071 51710 0.071 -0.011 -0.127 2 1 AA 2003 0.000 0 -0.016 62568 0.014 -0.043 -0.538 3 1 AA 2004 0.000 0 -0.002

Dear R Helpers, I need to find the root of following equation. 0.0016^2 = (0.001*x)^2 + (0.002 * (1-x))^2 + 2 * 0.7 *0.001*0.002 * x * (1-x). I had tried using "animation " package as follows. # My Code library(animation) ani.options(nmax = 500) solu = newton.method(function(x) 0.0016^2 - 0.001^2*x^2 - 0.002^2*(1-x)^2 - 2*0.7*0.001*0.002*x*(1-x), 1, c(-1,1)) solu$root #

Hello, I have a loop with probability computed from a logistic model like this: for (i in 1:300){ p[i]<-exp(-0.834+0.002*x[i]+0.023*z[i])/(1+exp(-0.834+0.002*x[i]+0.023 +z[i])) x and z generated from normal distribution. I get 300 different probabilities And I want to generate variables from bernulli distribution with P for every observation: T[i]<-rbinom(1,1,p[i]) But i get missing

Hello, I am relatively new to R and I am working through the code that is provided in the book Numerical Ecology with R and I have run across an error message that I can't seem to figure out. I am using the vegan, ade4, gclus and cluster packages. The code is as follows: # Ordered community table # Species are ordered by their weighted averages on site scores or <- vegemite(spe,

Dear Sir/Ma, I Adelabu.A.A, one of the R-users from Nigeria. When am running a coxph command the below error was generated, and have try some idea but not going through. kindly please assist: > cox1 <- coxph(Surv(tmonth,status) ~ sex + age + marital + sumassure, X) Warning message: In fitter(X, Y, strats, offset, init, control, weights = weights, : Ran out of iterations and did not

Dear R-ophiles, I've found something very odd when I apply convolve to ever larger vectors. Here is an example below with vectors ranging from 2^11 to 2^17. There is a funny bump up at 2^12. Then it gets very slow at 2^16. > for( i in 11:20 )print( system.time(convolve(1:2^i,1:2^i,type="o"))) user system elapsed 0.002 0.000 0.002 user system elapsed 0.373

Motivated by Deepayan's recent inquiries about the efficiency of the R 'quantile' function: http://tolstoy.newcastle.edu.au/R/devel/05/11/3305.html http://tolstoy.newcastle.edu.au/R/devel/06/03/4358.html I decided to try to revive an old project to implement a version of the Floyd and Rivest (1975) algorithm for finding quantiles with O(n) comparisons. I used

Hi I have dataset that consists of two columns AB 0.102 AC -0.002 BA -0.102 BC 0.270 CA 0.002 CB -0.270 I wish to create a matrix so that I can eventually plot the data. A B C A 1 0.102 -0.002 B -0.102 1 0.27 C 0.002 -0.27 1 Any help or guidance would be greatly