similar to: [Bridge] reverse the aging process now

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Often, when exploring a dataset, I'd like to plot several very different Y variables against the same X variable, in panels stacked one over the other. Is there an easy way to do this? I'd like to achieve an elegant look similar to the look achieved by lattice in conditioned plots--for instance no space between panels. But unlike in straightforward conditioned plot, each panel may be on a

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Dear Sir, I want to ask that since I have installed Linux RedHat 7.1 with Samba Server inside it. I also configured it follow some books , however, my problem now is that . I can brower the linux computer through other computer in the same domain. However, when I try to access it, then it will said network problem and can't access it. I have tried ping to both computer name and ip address

Some time ago I was allowed to discuss "Diamond Graphs", and whether they would be useful in R, in this mailing list. The August 2003 issue of The American Statistician has finally arrived here and I have been able to read the article. A number of points of interest arise. 1. The article is "A Diamond-Shaped Equiponderant Graphical Display of the Effects of Two

There are three different types of HGH products. The confusion is that all three are advertised as if they were the same. The three types are: 1) --- Homeopathic HGH 2) --- Pre-cursor HGH 3) --- Real or synthetic HGH (delivered by injection or, by an oral spray method). Do you know differences? Call us and we'll explain them to you. Our toll free number is

There are three different types of HGH products. The confusion is that all three are advertised as if they were the same. The three types are: 1) --- Homeopathic HGH 2) --- Pre-cursor HGH 3) --- Real or synthetic HGH (delivered by injection or, by an oral spray method). Do you know differences? Call us and we'll explain them to you. Our toll free number is

Dear list member, My question is related to input file format to an Anova from car package. Here is an example of what I did: My file format is like this (and I dislike the idea that I will need to recode it): Hormone day Block Treatment Plant Diameter High N.Leaves SH 23 1 1 1 3.19 25.3 2 SH 23 1 1 2 3.42 5.5 1 SH 23 1 2 1 2.19 5.2 2 SH 23 1 2 2 2.17 7.6 2 CH 23 1 1 1 3.64 6.5 2 CH 23 1 1 2

Hi, This is not an R question, but I've seen opinions given on non R topics, so I wanted to give it a try. :) How would one treat a variable that was measured once, but is known to fluctuate a lot? For example, I want to include a hormone in my regression as an explanatory variable. However, this hormone varies in its levels throughout a day. Nevertheless, its levels differ substantially

Dear R experts, beginners and everyone else, I'm calculating "cumulative periodogram" using the command "cpgram" [1] from the MASS library. Here is a short example with the "lh" (hormone level) dataset: library(MASS) plot(lh,type="l",ylab="value",xlab="time", main="Hormone Levels (lh)") spectrum(lh,

I'm attempting the heruclean task of teaching myself Introductory Statistics and R at the same time. I'm working through Peter Dalgaard's Introductory Statistics with R, but don't understand why the answer to one of the exercises works. I'm hoping someone will have the patience to explain the answer to me, both in the statistics and R areas. Exercise 6.1 says: The zelazo data

Hola a tod@s! Estoy dando mis primeros pasos con R, y mi objetivo es conseguir descargar tweets de cuentas concretas de twitter. Encontre documentación sobre el package twitteR, y he intentado aplicarlo, pero siempre tengo problemas a la hora de conseguir la autentificación con OAuth. Este es el código que estoy utilizando: options( RCurlOptions = list(verbose = TRUE, proxy =

List Mom/Dad, could you please find in the list of subscribers the person that is getting mail at uol.com.br or something similar and smack them for having broken Anti-Spam software ?? I'd be happy to see them just be removed until they fix it. cheers ----- Forwarded message from AntiSpam UOL <andersoncbr.sspam@uol.com.br> ----- Delivered-To: jmbrown@chagresventures.com Date:

Hi everyone, Although this question is more related to ChIP and ChIP-seq, it could be probably anchored in a more general statistical context. The question is : what method is better to assess the significance of the change in a signal (the signal can be DNA binding, for instance) given the background and 2 conditions. <. condition1 (eg no treatment) : background = 1;

Dear all, I'm confused by the time serie parameters in data(lh) : sueoka:~ lobry$ R --vanilla --quiet > tsp(lh) [1] 1 48 1 because documentation says: QUOTE A regular time series giving the luteinizing hormone in blood samples at 10 mins intervals from a human female, 48 samples. UNQUOTE So that I would expect the time serie to end at 480 minutes or 8 hours. Shouldn't we have

We have a problem inverting a matrix which has the following eigenvalues: > eigen(tcross, only.values=TRUE) $values [1] 7.917775e+20 2.130980e+16 7.961620e+13 8.241041e+12 2.258325e+12 [6] 3.869428e+11 6.791041e+10 2.485352e+09 9.863098e+08 9.819373e+05 [11] 3.263408e+05 2.929853e+05 2.920419e+05 2.714355e+05 8.733435e+04 [16] 8.127136e+04 6.543883e+04 5.335074e+04

I have a numerical vector which contains a (poorly) formatted time column, which, in theory, should be HHMM, but was distributed as an integer, so, for 12:15 am, it is saved as "15" (e.g. HHMM = 0015 with the zeroes stripped). I'm trying to use this in conjunction with strptime, but I'm thinking because each time is an integer ranging from 1 to 4 digits, I probably need to

can you recommend a good manual for R that starts with a data set and gives demonstrations on what can be done using R? I downloadedR Langauage definition and An introduction to R but haven't found them overly useful. I'd really like to be able to follow some tutorials using a dataset or many datasets. The datasets I have available on R are Data sets in package 'datasets':