similar to: Frequency plot --- stacked symbols

Hi, Typical things you read when new to stats are cautions about using a t-statistic when comparing independent samples. You are steered toward a pooled test or welch's approximation of the degrees of freedom in order to make the distribution a t-distribution. However, most texts give no information why you have to do this. So I thought I try a little experiment which is outlined here.

Hi, I am encountering a difficulty I don't understand. Be patient, I'm very new to analysis of variance. If I load this data: example12_7=read.table("http://msemac.redwoods.edu/~darnold/math15/data/chapter12/example12_7.dat",header=TRUE) The run the oneway.test: oneway.test(time~drug,data=example12_7,var.equal=TRUE) I get these results: data: time and drug F = 4.1881, num

My friend sent an Excel file: http://msemac.redwoods.edu/~darnold/temp/cyu01_iqscores.xls http://msemac.redwoods.edu/~darnold/temp/cyu01_iqscores.xls I opened it in Excel, saved is as cyu01_iqscores.csv, then imported it into R with: iqscores=read.csv('cyu01_iqscores.csv',header=TRUE) The result was: > head(iqscores) IQ.Scores X 1 145 NA 2 101 NA 3 123 NA 4

Hi, I'm looking for some ideas on how to reproduce the attached image in R. There are three samples, each of size n = 10. The first is drawn from a normal distribution with mean 60 and standard deviation 3. The second is drawn from a normal distribution with mean 65 and standard deviation 3. The third is drawn from a normal distribution with mean 70 and standard deviation 3.

Hi, Reading about a "Heads and Tails" game in http://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf Introduction to Probability (Example 1.4, pp. 5-8). You toss a coin 40 times. If heads, Peter wins $1, tails, he loses $1. I think I can do that ok with: winnings <- sum(sample(c(-1,1), 40, replace=TRUE)) But I have to do it 10,000 times

All, Consider: BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) layout(c(2,1)) barplot(table(BagB)) barplot(table(BagA)) At this point, I'd like to arrange the plots so that the 10-bars are aligned, the 20-bars are aligned, etc. So, I started

Hi, I hope that folks can give me some simple approaches to taking the data set below, which is accumulated in two columns called "long" and "group", then arrange the data is the "long" column into a data frame containing five variables: "Group 1", "Group 2", "Group 3", "Group 4", and "Group 5". I am hoping for a few

Hello, I'm trying to plot an exponential regression line through my data (scatterplot with trend line), but can't find a way to do that. it is to be the best fit possible. -- View this message in context: http://www.nabble.com/plotting-regression-line-tp17837683p17837683.html Sent from the R help mailing list archive at Nabble.com.

All, I am looking at an example in Aliaga's Interactive Statistics. Bag A has the following vouchers. BagA <- c(-1000,10,10,10,10,10,10, 10,20,20,20,20,20,20,30, 30,40,40,50,60) Bag B has the following vouchers. BagB <- c(10,20,30,30,40,40,50,50, 50,50,50,50,60,60,60,60, 60,60,60,1000) Two values are selected (from BagA or BagB) without

Hi, Can someone explain this: > options(digits=20) > 1/3 [1] 0.33333333333333331483 Why the 1483 at the end? Thanks, David. david-arnolds-macbook-pro-2:~ darnold$ R --version R version 2.15.2 (2012-10-26) -- "Trick or Treat" Copyright (C) 2012 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) -- View this

Hi, I would like to draw a graph as follows: A simplified example is that on the X axis are different countries, I have several temperature measurements taken from each country and would like to plot these linearly above each country. So one would imagine that cold countries would have lots of points at lower temperatures and the opposite for higher countries with a few outliers. I am not sure

Hi R HELP, I consider the 2^3 factorial experiment described at page 177 of the book Statistics for Experimenters: Design, Innovation, and Discovery by George E. P. Box, J. Stuart Hunter, William G. Hunter (BHH2). This example use the following data in file BHH2-Data/tab0502.dat at ftp://ftp.wiley.com/ in /sci_tech_med/statistics_experimenters/BHH2-Data.zip run T C K y 1 1 -1 -1 -1 60 2

Hi R help, Hi R help, Which is the easiest (most elegant) way to force "aov" to treat numerical variables as categorical ? Sincerely, Andrea Bernasconi DG PROBLEM EXAMPLE I consider the latin squares example described at page 157 of the book: Statistics for Experimenters: Design, Innovation, and Discovery by George E. P. Box, J. Stuart Hunter, William G. Hunter. This example use

Hallo, I have got an existing data frame and want to add a new column. The existing data frame was created like this: > df <- rbind( c("Fred", "Mary", 4), c("Fred", "Mary", 7), + c("Fred", "Mary", 9), c("Barney", "Liz", 3), + c("Barney", "Liz", 5) ) > df

Dear R fans, I am preparing a lecture discussing the paper of Wilkinson and APA Task Force on Statistical Inference (1999, American Psychologist, 54, 594-604.) I'd like to demo their Figure 3B (p. 602) with R. That is to add plotMeans(...) with dots of BHH2::dotPlot(...) . Is there any elegant script to do the job? Thanks --------------- LI, Xiaoxu

Hallo, I build a list by the following way: Lst = list(name="Fred", wife="Mary", no.children=3, cild.ages=c(4,7,9)) I know how I can extract the information one by one. But now I want to add a new entry which looks like name="Barney", wife="Liz", no.children=2, cild.ages=c(3,5) How can I add this information to Lst without overwriting the first entry?

hi~ OS: Windows Server 2008 R2 <http://code.google.com/p/djapian/source/detail?r=2>, 64-bit xapian version: 1.0.15, just installed the package from http://www.flax.co.uk/xapian/1015/xapian-python-bindings%20for%20Python%202.6.2%20-1.0.15.win32.exe dapian version: 2.2.4, use xapian in dapian. When running the rebuild, got the error, like: >python manage.py index --rebuild [Error 126]

Dear R experts, Can R make an usual dotplot just like Minitab and other softwares? I have the following data, and can use dotchart to graph a dotplot: y=c(2.873438152e-01, -8.732895642e-01, 4.579001889e-01, 1.047395204e+00, 8.491182299e-02 , -1.938007105e+00, -1.273708343e+00, 9.848010588e-05, 7.238490734e-01, -1.490552717e+00) dotchart(y, xlab="10 observations from

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 - -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi! Has anyone gotten it working at all with Linux :) I picked one up for thiry bucks and would love to monitor it! Liz - -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.1 (Darwin) iD8DBQFD/5fEIACpLcG4dhwRAmeCAJ9+8FGXqKoOlZdkw/KFXb9n0PEemwCdHaoD NVnv7JjmBAjNsExK6WzAdnA= =pcPX - -----END PGP

I thought I had things figured out, but guess not. I have multi-user Quickbooks databases that functioned fine on a Novell server but are behaving badly on a Samba share. I have created a separate share for the Quickbook databases, users are running Win XP Pro, latest patches, and the Quickbooks application installed on the desktop. It is a multiuser version. Server is RedHat ES 3, Samba