similar to: Problem with reshaping data from wide to long format

Hi: How do I find average across three columns such as weight1, weight2, weight3 (20 people, each person has three different measures)? They have NA's also. Thanks Tom, Univ of Pittsburgh, ttrut at yahoo.com

Hi all, I have a data set with missing value. I would like to estimate those missing value by using normal ratio method. Below is part of my data: AS BL Serdang Jhr Phg Target station 0 0.0 12.8 0.0 23.7 0.0 6 0.0 81.7 0.2 0.0 NA 0 1.5 60.9 0.0 0.0 15.5 1 13.0 56.8 17.5 32.8 6.4 4 3.0 66.4

Hi, I am an R newbie and one thing I am having trouble with binding variables that I have created within one data frame into a new data frame when using na.omit(). To illustrate this problem I will give the example I am working on and the approah I have been using:- data.frame1<-filepath.... attach(data.frame1) #create a new variable using a function new.variable<-rep(1,length(weight3))

Hi: Goal: use R to turn a matrix of 1's and 0's into a corresponding image (e.g. png) of black and white pixels. Why R: Yes, I can do this more efficiently and precisely with a perl module like Image::PBM. Been there, done that many times, etc. (Just humor me. I'm trying to do this with R for a number of reasons.) Problem:

libswfdec/swfdec_script.c | 14 ++++++++++++-- test/trace/Makefile.am | 2 ++ test/trace/gotoframe.swf |binary test/trace/gotoframe.swf.trace | 13 +++++++++++++ 4 files changed, 27 insertions(+), 2 deletions(-) New commits: diff-tree 12348410a3509928a6e8e4c8ca00292a58ff542c (from 46e62d4410c20c19774a45758d8ebf11cd0bdf96) Author: Benjamin Otte <otte@gnome.org>

I'm trying to plot a series of densities using/comparing differing weights. I see the reference to weights and subscripts, but I don't understand how to implement that. My data are of the form: I, J, Actual, Distance, Subset, Weight1, Weight2, ... I'm trying to see the effect of the distance distribution (Actual by Distance) compared to the various weighted distributions

Hello! I have the following problem. I would like to plot the hclust object "hcd" (bellow, at the end of the mail) with ticks at seq(0.05,0.25,by=0.05). I tried using the code plot(hcd) and plot(hcd,axes=FALSE) axis(2,seq(0.05,0.25,by=0.05)) In both cases, the resoult is the same, ticks at 0.05 and 0.25 are not printed. I tried changing the ylim argumet in plot, however I got a

Guys Oppologies for the cross post. I''ve been scouring the docs coming with the wrr patches and for the life of me I can''t figure out why there are 8 parameters for each class. <snip> weight1, min1, decr1, incr1, weight2, min2, decr2, incr2 </snip> According to the docs these parameters are handled the same way, but looking at the example scripts there are

I have set up wrr successfully on my bridge/shaper machine. That much works fine. I originally used sfq in the inner classes. However, there was a problem with high-bandwidth connections (web downloads, bittorrent) starving low-bandwidth low-latency connections like ssh. I would like to use prio or similar to prioritize the interactive traffic, but it does not seem to work. I have tested with

Hi im trying to add error bars to my barplots, there very basic, i have a few grapghs where the y variable is different but on all the X variable is Age (Adult and Juvenile) however this is split into two levels so i have males and females, so my graph basically has four bars on it. I know how to add eror bars for instance when there is only one level eg lookng at the diffrence between male and

I have two data sets: "new" and "combo". Within both data set, each row pertains to a unique individual. The "combo" data set is a subset of the "new" data set, meaning that all individuals within "combo" are within "new" but not all individuals within "new" are within "combo". Thus, nrow(new) > nrow(combo). Each

Hello When I run scatter.smooth(jitter(weight), jitter(height2), span = .25, evaluation = 50, pch = '.') I get the type of graph I thought I would get, but also a warning..... k-d tree limited by memory. ncmax= 528 I always get concerned when there are warnings I don't understand. What's a k-d tree? Is this something to be concerned about? Thanks Peter Peter L. Flom,

libswfdec/swfdec_font.c | 4 libswfdec/swfdec_font.h | 2 libswfdec/swfdec_js_movie.c | 8 - libswfdec/swfdec_script.c | 225 +++++++++++++++++++++++++++++++++++++++---- libswfdec/swfdec_script.h | 14 ++ test/.gitignore | 1 test/trace/Makefile.am | 6 + test/trace/height4.swf |binary test/trace/height4.swf.trace | 5

Dear R users: i try to use package "reldist" to measure wage distribution. In package "reldist" : y mean sample from comparison distribution yo mean sample from reference distribution but I would like to compare more than two years ( total of fifteen years, from 1979, 1981, 1983..........to 2007) how should i correct my programs, then i could compare fifteen year's

Dear all users, I read all R programs and texts in "Relative Distribution Methods" website, but I encounter two problems when I used it. then I used "Google" to try to find any solutions about the two problems,but I got no useful hints. 1、 In package "reldist" y mean sample from comparison distribution yo mean sample from reference distribution but I

Dear All, Comparing linear mixed effect models in SAS and R, I found the following discrepancy: SAS R random statement random subj(program); random = ~ 1 | Subj -2*loglik 1420.8 1439.363 random effects variance(Intercept) 9.6033 9.604662

Dear list, I am trying to replicate some Stata results but having a tough time doing it in R. The goal is to obtain a difference-in-difference estimate in a model with simple state fixed effects. The "state" variable is a factor, but some levels are missing. It appears that Stata automatically recognizes this and works around it. It also automatically pick "ME" as the base

I'm sure this must be a nls() newbie question, but I'm stumped. I'm trying to do the example from Draper and Yang (1997). They give this snippet of S-Plus code: Specify the weight function: weight < - function(y,x1,x2,b0,b1,b2) { pred <- b0+b1*x1 + b2*x2 parms <- abs(b1*b2)^(1/3) (y-pred)/parms } Fit the model gmfit < -nls(~weight(y,x1,x2,b0,b1,b2),

Report by Eric Lindblad 06-10-2015 http://www.ericlindblad.blogspot.com cf: http://permalink.gmane.org/gmane.comp.search.xapian.general/9885 modifications allowing for brass and chert to compile on SFU Interix 3.5 (modified) [code change not performance critical] /xapian-core-1.2.21/backends/brass/brass_check.cc /xapian-core-1.2.21/backends/chert/chert_check.cc #include <climits> +

Report by Eric Lindblad 11-09-2015 http://www.ericlindblad.blogspot.com I compiled xapian-core-1.0.23 today on Interix. 'gmake check' summary PASS: btreetest, quartztest, stemtest, termgentest FAIL: apitest, internaltest, queryparsertest MS XP SP3 HOME modified SFU Interix 3.5 w/ getopt.h, inttypes.h, & stdint.h copied over from SUA Interix for Vista (and newer) into