search for: hormone

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 2.8 3.7 2 CH 23 1 2 1 3.28 4 2 CH 23 1 2 2 2.82 5.2 2 SH 23 2 1 1 2.87 6.4 2 SH 23 2 1 2 2.8 6 2 SH 23 2 2 1 2.02 4.5 2 SH...

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, main="Hormone Levels (lh)") # periodigram cpgram(lh, main="Hormone Levels (lh)") # cumul. periodigram I got followi...

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...

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 between individuals so that there is information there to use. One simple thing to try would be to form categories, but I assume there are better...

...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, arran...

...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

...sed on. I have not yet seen the article this was based on. c. Figure 7 has two graphs. On the left it's relative risk of breast cancer as the thing to be explained, with adult weight change (measured in kg; why not as a proportion of starting weight?) and hormone use (never, past, current) as the explanatory variables. On the right excess risk is to be explained, with the same explanatory variables. One of the explanatory variables is continuous. (Although it is not obvious to me that a weight change of 10 kg in a 55kg woman should have...

...f a list of vectors, one for each of the four groups. Convert the data to a form suitable for the use of lm, and calculate the relevant tests. ... This stumped me right from the beginning. I thought I understood that linear models tried to correlate an independent variable (such as the amount of a hormone administered) to a dependent variable (such as the height of a cornstalk). Its output was a model that could state, "for every 10% increase in the hormone, the height increased by X%." The zelazo data are the ages at walking (in months) of four groups of infants, two controls and two exp...

...the diameter and height measurements, you can probably get away with using normal errors, but for the counts, you may well have to use a generalized linear mixed model." So, I am trying to analyze my data with car package. I have: time (days after germination) -> 4 levels (38, 53, 73, 85) Hormone -> 2 levels (SH, CH) on sub-plots Block -> 4 blocks Treatment -> 6 levels (1, 2, 3, 4, 5, and 6) on sub-sub-plots Plant -> subjects I measured Diameter (mm), Height (cm), HD (height/diameter), and Number of Leaves (count) at each time point. But, plant can be died and I got NAs. Howev...

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;

...da 26901 05-05-03 15:32 faraway/data/epilepsy.rda 18089 05-05-03 15:32 faraway/data/exa.rda 1641 05-05-03 15:32 faraway/data/exb.rda 16933 05-05-03 15:32 faraway/data/faithful.rda 4177 05-05-03 15:32 faraway/data/gala.rda 1095 05-05-03 15:32 faraway/data/hormone.rda 3025 05-05-03 15:32 faraway/data/irrigation.rda 223469 05-05-03 15:32 faraway/data/jsp.rda 14296 05-05-03 15:32 faraway/data/kanga.rda 7293 05-05-03 15:32 faraway/data/leafblotch.rda 2121 05-05-03 15:32 faraway/data/melanoma.rda 1901 05-05-03 15:32 f...

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 something like: > tsp(lh) <- c(10, 480, 0.1) # in Minutes or > tsp(lh) <- c(1/6, 8, 6) # in Hours Best,...

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

...s Edgar Anderson's Iris Data iris3 Edgar Anderson's Iris Data islands Areas of the World's Major Landmasses ldeaths (UKLungDeaths) Monthly Deaths from Lung Diseases in the UK lh Luteinizing Hormone in Blood Samples longley Longley's Economic Regression Data lynx Annual Canadian Lynx trappings 1821-1934 mdeaths (UKLungDeaths) Monthly Deaths from Lung Diseases in the UK morley Michaelson-Morley Speed of Light Data m...

...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. We lead collaborative research teams that include top computer scientists, statisticians, and other scientists at Brown, Harvard, UC Berkeley, and elsewhere. We seek a research assistant or staff scientist with exp...

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,

...ll you back in a no pressure, educational manner. If you are overseas call your long distance operator and ask to be connected to our phone number. We will call you back so we can pay for the long distance charges. For more information on HGH read on............ HAVE YOU HEARD OF HUMAN GROWTH HORMONE (HGH)??? Released by your own pituitary gland, HGH starts declining in your 20s, even more in your 30s and 40s, eventually resulting in the shrinkage of major organs -- plus, all other symptoms related to old age. IN THOUSANDS OF CLINICAL STUDIES, HGH HAS BEEN SHOWN TO ACCOMPLISH THE...