similar to: Offtopic, HT vs. HH in coin flips

I am trying a simple toin coss simulation, of say 200 coin tosses. The idea is to have a data frame like so: Experiment# Number_Of_Heads 1 104 2 96 3 101 So I do: d <-data.frame(exp_num=c(1,2,3)); /* Just 3 experiments to begin with */ d$head_ct <-sum(sample(0:1,200,repl=TRUE)); d; exp_num head_ct 1

Can someone recommend a method to answer the following type of question: Suppose I have a coin with a probability hhh of coming up heads (and 1-hhh of coming up tails) I plan on flipping the coin nnn times (for example, nnn = 500) What is the expected probability or frequency of a run of rrr heads* during the nnn=500 coin flips? Moreover, I would probably (excuse the pun) want the answer for a

Hi all, I need to compare between times and put all similar times in specific 1 minute bins. Unfortunately the original data include seconds as well. My data is in HH:MM:SS format but I need it rounded to only HH:MM and trying in Excel to display "unique" records only does not work since the seconds are not unique. Is there an easy way using perhaps CHRON to change all from the

Hello, I have srv <- Surv(sample(1:10), sample(0:1, 10, replace = TRUE)) srv [1] 1 10 2+ 8 6+ 7+ 3 5+ 4+ 9+ srv.char <- as.character(srv) srv.char [1] " 1 " "10 " " 2+" " 8 " " 6+" " 7+" " 3 " " 5+" " 4+" " 9+" Is there an inverse to as.character(srv). That is, I would

This is related to my post about .chm where vitamin set me on the right path. http://forum.winehq.org/viewtopic.php?t=1026 Since then I reinstalled Ubuntu 8.04 and wine. While perusing the virgin registry I noticed the chm.file ...command key was: C:\windows\system32\hh.exe %1 There is no hh.exe located in that directory. The hh.exe file is located in the C:\windows\ directory. If wine uses the

I would like to be able to start the Wine .chm file-viewer, C:\windows\hh.exe, from the command-line like this: wine hh.exe /some/dir/somefile.chm It works if the current directory contains the .chm file, but not if I have to specify a path. Am I missing something?

The software for my recent book Statistical Analysis and Data Display Richard M. Heiberger and Burt Holland http://springeronline.com/0-387-40270-5 is now available as an R package from the book's website. The package has been submitted to CRAN. Description: Support software for Statistical Analysis and Data Display (Springer, ISBN 0-387-40270-5). This contemporary

Hello, I am dealing with data stored in a database as a 'time' object. I export the data from the database to a text file and utilize the 'time_to_sec()' function of the database to convert the human readable time (HH:MM:SS) to seconds so that I can use R to do analysis and create charts of the data. I do not need or use days or dates in the data, and the data range is from

Dear R Group Can any body point me to a link from where I can get zip archive of the package HH for R 2.12.0? Thanks & Regards Vijayan Padmanabhan "What is expressed without proof can be denied without proof" - Euclide. Please visit us at www.itcportal.com ****************************************************************************** This Communication is for the exclusive use

Hi All, I have a data frame: Time1 Time2 1 176:46:10 41:48:06 2 171:28:57 61:19:10 3 178:25:15 34:05:35 4 74:04:20 25:01:55 5 136:11:20 37:59:32 6 138:17:17 30:22:27 7 183:04:48 29:25:02 8 179:35:01 19:29:44 > str(df) 'data.frame': 8 obs. of 2 variables: $ Time1: Factor w/ 583 levels

Dear R-users, i have two questions : 1- first of all, i wish to know the way to obtain a serie with a format like "00" : ( "01","02","03","04"....) or like postal code ("01100","02222"). for instance, i do : > format(strptime(as.character(c(1:4)),"%H"),"%H") but it sounds complicate and not really

Hi, R allows me to run a one sample Wilcoxon test like this: wilcox.test(c(1,3.5,2.1,4,1.5,5), mu=2, exact=TRUE) The function 'wilcoxsign_test' from the package 'coin' should (I suppose) be able to calculate exact p values even if there are ties in the ranks. However, I couldn't find information on how to run a one sample test using 'wilcoxsign_test' like in the

Is it possible to implement the Jonckheere-Terpstra test for ordered alternatives using the coin package: Conditional Inference Procedures in a Permutation Test Framework? I found jonckheere.test{clinfun}, but it uses a normal approximation when ties are present in the data. To make this concrete, I've include a small dataset. Thanks. --Dale Hollander and Wolfe, 1999 Table 6.6, pg 205

Dear R helpers, I am trying to understand how to use the independence_test function in the coin package. I think I suffer from a misunderstanding about what the package does. Either that or I do not understand how to use it properly. Specifically, I cannot understand if I can test independence of arbitrary statistics. Take the following example: set.seed(10) d <- data.frame(y = c(rnorm(10,

Dear List, I'm interested in performing a permutation test on the interaction between a binary treatment indicator and a covariate (either continuous or categorical). I'm interested in the p-value of the interaction effect from a permutation test, and I'm using the coin package for that purpose. As I haven't seen any examples like this in the package documentation (or anywhere

Dear expeRts, I would like to use a oneway_test (from package coin) to test whether two groups differ on various variables. The variables are encoded within a data frame. Unfortunately, I obtained an error, that I don't understand. Could you please help me ? Example: library(coin) y <- as.data.frame(matrix(rnorm(200), ncol=2)) group <- as.factor(unif(100)) lapply(y,

Dear R users, I am trying to convert a dataset from one format to several rectangular datasets. A consultant helped design the data entry program for our survey using Delphi/Pascal and for each household the information is stored in a file called "EA-HM-HH.TXT" where EA is the enumeration area number, HM is the homestead number and HH is the household number. Within this file the

Dear fellow R users, Keywords: Kruskal-Wallis, Post-Hoc, pair-wise comparisons, Nemenyi-Damico-Wolfe-Dunn test, coin package, oneway_test I am using the "oneway_test" function in the R package "coin" and I am obtaining results which I cannot believe are accurate. I do not wish to waste anyone's time and so if the following problem is rather trivial, I apologize, however I

Given the following data, and hypothesized median M.0 I've found a method to implement the Wilcoxon signed-rank test. Data: (with one zero difference and tied ranks) x <- c(136, 103, 91, 122, 96, 145, 140, 138, 126, 120, 99, 125, 91,142, 119, 137) M.0 <- 119 > library(exactRankTests) Package ?exactRankTests? is no longer under development. Please consider using package ?coin?

Hi, I am running the following example which can be found on page 12 of the pdf file of COIN package wt<-wilcox_test(pd~age,data=water_transfer,distribution="exact", conf.int=TRUE) "wt" actually contains the estimate of difference in location and the confidence interval of it. I am just wondering how can I extract these values? From the examples, I understand that the