search for: hormones

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

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,

Dear all, I am trying to analyze data from an experiment like this: Factors: Hormone - Levels: SH, CH (S = without; C=with; H=Hormone) Time - Levels: 19/08/09, 04/09/09, 18/09/09, 08/10/09, 20/10/09 (DD/MM/YY) Nutrition - Levels: Completa, Sem (without) Macronutrition - Levels: Ca, K, Mg, P, Sem (without) Time is the measures day. It reflect the days after germination. Blocks : 4 plants per

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

...by lattice in conditioned plots--for instance no space between panels. But unlike in straightforward conditioned plot, each panel may be on a different scale. Example. ? Plot Estrogen, Creatinine, and their ratio; all by the same predictor variable (say, Day). Or: In a longitudinal study of hormones in reproductive-age women, plot progesterone, estradiol, testosterone, luteinizing hormone, follicle-stimulating hormone, and thyroid-stimulating hormone all on one page, parallel. Note that several of these variables are measured in different units. ? One panel for each outcome variable, arrang...

...bably spam. The original message has been attached along with this report, so you can recognize or block similar unwanted mail in future. See http://spamassassin.org/tag/ for more details. Content preview: candi LATEST BREAKTHROUGH - NEWS FLASH The BAD News: As you Age your body produces less hormones causing you to look older, feel older and be weaker! [...] Content analysis details: (7.80 points, 5 required) TO_ADDRESS_EQ_REAL (0.6 points) To: repeats address as real name HGH (0.5 points) BODY: Human Growth Hormone HTML_FONT_COLOR_RED (0.1 points) BODY: HTML font color...

...obably spam. The original message has been attached along with this report, so you can recognize or block similar unwanted mail in future. See http://spamassassin.org/tag/ for more details. Content preview: rand LATEST BREAKTHROUGH - NEWS FLASH The BAD News: As you Age your body produces less hormones causing you to look older, feel older and be weaker! [...] Content analysis details: (6.10 points, 5 required) TO_ADDRESS_EQ_REAL (0.6 points) To: repeats address as real name HGH (0.5 points) BODY: Human Growth Hormone HTML_LINK_CLICK_HERE (0.1 points) BODY: HTML link text...

Dear R-help, I am using R-3.3.2 on Windows 10. As per my previous post today, I teach on a course which has 4 computer practical sessions related to the development and validation of clinical prediction models. These are currently written for Stata and I am in the process of writing them for use in R too (as I far prefer R to Stata!) Part of the practical requires the student to fit a flexible

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

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

....07500 -0.13875 Treatment3 -0.19250 -0.01500 -0.20875 -0.36875 Treatment4 -0.35375 -0.08500 -0.22750 -0.27125 Treatment5 -0.29125 0.04875 -0.14375 -0.26375 Treatment6 -0.00125 -0.25750 -0.81125 -0.77750 HormoneSH -0.30875 -0.08875 0.31500 0.07000 Treatment2:HormoneSH 0.19875 0.11250 -0.44500 -0.24875 Treatment3:HormoneSH 0.15375 0.01875 -0.12125 0.07000 Treatment4:HormoneSH 0.28000 -0.04250 -0.41750 -0.38750 Treatment5:HormoneSH 0.408...

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;

Full_Name: José Otero Version: Version 1.5.0 (2002-04-29) OS: Redhat 7.3 Submission from: (NULL) (192.187.16.164) Hi: Installation of package faraway as root, from tarbal: R CMD INSTALL ./faraway.tar.gz ERROR: cannot extract package from './faraway.tar.gz' idem, from zipped package: R CMD INSTALL faraway.zip gzip: faraway.zip has more than one entry--rest ignored ERROR: cannot

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

Nav?tivte na?e webov? str?nky infotigra a objevte, jak JEDNA jedin? mal? modr? pilulka m??e do?ivotn? zm?nit VA?I sexu?ln? v?konnost! ? V??en? z?kazn?k! V?deck? testy prok?zaly, ?e TIGRA funguje l?pe ne? jak?koli jin? pilulka. Test na 800 mu??ch ve v?ku 21 a? 80 let prok?zal ohromuj?c? v?sledky: ? 1. A? o 71 % siln?j?? touha

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

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':

Research Assistant/Staff Scientist: Technology in Environmental Health (Silent Spring Institute; Boston, MA) Silent Spring Institute is a non-profit scientific research group studying the environment and health. We are a multi-disciplinary team and international leader in research on everyday exposures to hormone disruptors, tests for breast carcinogens, and environmental links to breast cancer.

V??en? z?kazn?ku, tak jak st?rneme, kles? na?e pohlavn? potence. N?? organizmus produkuje m?n? testosteronu, co? je v?znamn? hormon mu??, a proto je i na?e touha men?? a v?kon slab??. Pro mnoho mu?? to znamen? v??n? pohlavn? probl?my - slab? nebo neexistuj?c? stopo?en?, ztr?ta mu?nosti nebo schopnosti uspokojen?. Jsou to trapn?, poni?uj?c? v?ci. Samoz?ejm? na to existuj? l?ky na l?ka?sk? p?edpis,

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