search for: jhuccp

http://bugzilla.mindrot.org/show_bug.cgi?id=335 dyw at iohk.com changed: What |Removed |Added ---------------------------------------------------------------------------- Severity|major |normal Keywords| |help-wanted OS/Version|Linux |BSDI

...for me in learning both R and stats? Is it an impossible quest to learn enough stats by myself to be useful in analyzing real data sets? Thanks so much for your advice and suggestions. Kevin Zembower Center for Communication Programs Bloomberg School of Public Health Johns Hopkins University www.jhuccp.org

I've been working with R for all of about 8 hours, so anyone with more experience than this should be able to help me. General comments about my methods of work are also welcomed. I have a table that I've imported thusly: > w <- read.table("woodford.data", header=T) > w start therms gas KWHs elect temp days 1 10-Jun-98 9 16.84 613 63.80 75 40 2

We just studied randomized block design analysis in my statistics class, and I'm trying to learn how to do them in R. I'm trying to duplicate a case study example from my textbook [1]: > # Case Study 13.2.1, page 778 > cd <- c(8, 11, 9, 16, 24) > dp <- c(2, 1, 12, 11, 19) > lm <- c(-2, 0, 6, 2, 11) > table <- data.frame(Block=LETTERS[1:5], "Score

In Henric's recent post, he included this output: @BOOK{R:Harrell:2001, AUTHOR = {Frank E. Harrell}, TITLE = {Regression Modeling Strategies, with Applications to Linear Models, Survival Analysis and Logistic Regression}, PUBLISHER = {Springer}, YEAR = 2001, NOTE = {ISBN 0-387-95232-2}, URL =

I think I've gotten my Emacs/Sweave/R system set up correctly, thanks to Vincent and Jim, but I haven't been successful getting my first document produced. I'm trying to use one of Friedrich Leisch's examples, http://www.ci.tuwien.ac.at/~leisch/Sweave/example-1.Snw. I cut and pasted the text into a document sweaveexample.Rnw in Emacs. It seemed to be processed successfully with R:

I hope this question is sufficiently different from the other requests for book recommendations that it's not repetitious. If not, I apologize in advance. I'm curious what standard reference books working statisticians, or biostatisticians, have within easy reach of their desk. I'm a computer systems administrator, and have a two-foot bookshelf directory under my monitor that contains

FWIW, here's a little data set I collected yesterday while working as an election judge in a precinct in Maryland: End DEM REP IND LIB OTH 8:00 40 12 7 1 0 9:00 30 7 3 0 0 10:00 35 13 6 0 0 11:00 31 10 8 0 0 12:00 23 4 2 0 0 1:00 23 5 0 0 0 2:00 20 8 1 0 0 3:00 24 5 6 0 0 4:00 15 6 4

[Yes, this is related to a homework problem, but is not the problems itself.] In my mathematical statistics class, we've just learned about properties of estimators, and I can now solve manually problems like this: A sample of size n = 16 is drawn from a normal distribution where sigma = 10 but mu is unknown. If mu = 20, what is the probability that the estimator mu hat = Y bar will lie

I've been given the job of extracting some data from the United States 2000 census (files at http://www2.census.gov/census_2000/datasets/Summary_File_2/Maryland/all_ Maryland.zip 52M). I'm only interested in Census Block Groups (CBGs) located within Baltimore City, Maryland. Additionally, I just have to extract certain data fields. I think I'll be using Summary File 2. This is my first

Full_Name: Kevin Zembower Version: 2.6.2 OS: Windows XP Pro, ver 2002 SP2 Submission from: (NULL) (162.129.44.50) Noticed the following errors and artifacts when trying to install R 2.6.2-win32.exe on my Windows XP Pro version 2002 Service Pack 2 workstation. I first attempted to install it as the 'Administrator'. More than once, I got the message, "Internal Error: Fialed to expand

Is this how a t hypothesis test is done when I don't have the actual data, but just the summarized statistics: > #Homework 9.2.6 [1] > n<-31 > xbar<-3.10 > s_x<-1.469 > m<-57 > ybar<-2.43 > s_y<-1.35 > s_pooled<- (((n-1)*s_x^2) + ((m-1)*s_y^2)) / (n + m - 2) > s_pooled [1] 1.939521 > t_obs <- (xbar - ybar) / (s_pooled * (sqrt(1/n + 1/m)))

[If I knew who to report this to privately, I would. Sorry to embarrass anyone who's just trying to contribute to the R-project.] There seems to be some oddities with the RSiteSearch web page. When I enter 'RSiteSearch("console")' I'm taken to http://search.r-project.org/cgi-bin/namazu.cgi?query=console&max=20&resu

I received a private request for my complete dataset from my previous questions. In gratitude to the developers of R, and especially to the helpful members of r-help, I'm happy to attach it. Anyone is free to use this dataset in any manner they wish, including published books. Attribution is not required, or even desired. Explanatory notes on dataset: This data is collected from monthly

I'm trying to get R, Sweave, ESS and XEmacs or emacs all installed and working together on my Windows XP Pro system. I've got R 2.6.0 working just fine, installed from the R Windows installer. I also have CYGWIN_NT-5.1 with XEmacs 21.4 working okay. Can anyone point me to any documentation on how to bring these together so that R code typed in Xemacs can be run in R? I found the ESS

I'm trying to solve a homework problem using R. The problem gives a list of cricket chirps per second and corresponding temperature, and asks to give the equation for the linear model and then predict the temperature to produce 18 chirps per second. So far, I have: > # Homework 11.2.1 and 11.3.3 > chirps <- scan() 1: 20 2: 16 3: 19.8 4: 18.4 5: 17.1 6: 15.5 7: 14.7 8: 17.1 9: 15.4

There must be a better way to select the rows after 22-Apr-2004 and before 01-Sep-2004 with a temperature below 65 than this: > before2sw1 <- subset(energy.data, as.Date(start, format="%d-%b-%y") < as.Date("01-Sep-04", format = "%d-%b-%y")) > before2sw2 <- subset(before2sw1, as.Date(start, format="%d-%b-%y") >=

I'm trying to replicate some of the examples from my textbook in R (my text uses Minitab). In this problem, I'm trying to construct a 95% confidence interval for these distance measurements [1]: > # Case Study 7.4.1, p. 483 > x <- scan() 1: 62 52 68 23 34 45 27 42 83 56 40 12: Read 11 items > alpha<-.95 > mean(x) + qt(c((1-alpha)/2, 1-((1-alpha)/2)), df=length(x)-1) *

I'm trying to get R to simulate the sum of the values on 10 fair dice (yes, it's related to a homework problem, but is not the problem itself). I tried to do this: > rep(sum(sample(1:6,100,replace=T)), times=10) [1] 341 341 341 341 341 341 341 341 341 341 and noticed that sum(sample()) seems to be only evaluated once. How can I overcome this, so that I get a vector of values that

I'm looking for a function in R similar to t.test() which was generously pointed out to me yesterday, but which can be used for normally distributed data. To recap yesterday: > x <- scan() 1: 62 52 68 23 34 45 27 42 83 56 40 12: Read 11 items > alpha<- .05 > t.test(x) One Sample t-test data: x t = 8.8696, df = 10, p-value = 4.717e-06 alternative hypothesis: true