similar to: bihistogram plots

Hi all, I am a freshman of R,but I am interested in it! Those days,I am learning pages on NIST,with url http://www.itl.nist.gov/div898/handbook/eda/section3/probplot.htm, I am meeting a problem about probability plot and I don't know how to plot a data set with R. Could somebody tell me the answer,and a example is the best! I will look forward to your answer. Thank you very much.

Dear R-Users, How can I use chisq.test() as a goodness of fit test? Reading man-page I?ve some doubts that kind of test is available with this statement. Am I wrong? X2=sum((O-E)^2)/E) O=empirical frequencies E=expected freq. calculated with the model (such as normal distribution) See: http://www.itl.nist.gov/div898/handbook/eda/section3/eda35f.htm for X2 used as a goodness of fit test. Any

I'd like to generate some plots like you'd see on the old "normal probability graph paper", like the first plot in: <http://www.itl.nist.gov/div898/handbook/eda/section3/normprpl.htm> except the horizontal scale would have 1%, 5%, 25%, 50%, 75%, 95%, 99%, or similar quantiles, with associated tick/grid lines. [still hunting around for a good example...] something like

Hola a todos: Estoy intentado realizar un modelo senoidal de unos datos de radiación solar con el fin de afrontar el relleno de la serie y aplicar la prueba de Thom para verificar su homogeneidad [0]. De momento me encuentro con los siguientes problemas: 1- ¿Existe la prueba de Thom en R? ¿O debo crearme mi propia función? 2- Para la realización del modelo senoidal estoy siguiendo los pasos

I am trying to login to cvs but the server refuses the connection: # cvs -d :pserver:anoncvs@xiph.org:/usr/local/cvsroot login # Logging in to :pserver:anoncvs@xiph.org:2401/usr/local/cvsroot # CVS password: anoncvs # cvs [login aborted]: connect to xiph.org(140.211.166.134):2401 failed: Connection refused I have tried to log in several times the last 2 days with no success. cvs version:

Hi, from what you're writing: "The logaritmic transformation "shapiro.test(log10(y))" says: W=0.9773, p-value= 2.512e-05." it seems the log-values are not distributed normally and so original data are not distributed like a log-normal: the p-value is extremally small! Other tests for normality are available in package: nortest compare the log-transformation of your ecdf

Hello all, Would somebody be kind enough to show me how to do a KS test in R for a lognormal distribution with ESTIMATED parameters. The R function ks.test()says "the parameters specified must be prespecified and not estimated from the data" Is there a way to correct this when one uses estimated data? Regards, Kwabena. -------------------------------------------- Kwabena Adusei-Poku

Hello, R users, I have two factors (treat, section) anova design experiment where there are 3 replicates. The objective of the experiment is to test if there is significant difference of yield between top (section 9 to 11) and bottom (section 9 to 11) of the fruit tree under treatment. I found that there are interaction between two factors. I wonder if I can contrast means from levels of

Hi, Can anyone please provide the formula used to compute ACF(nlme). I believe the one that is used in R is of the type mentioned on the website. Please correct me if I am wrong. The normalization of the numerator (Ch) has been done by 'N' where as I would like to do it by 'N-k'. Is there anyway in the present implementation of ACF to normalize it by 'N-k', where

> From: Spencer Graves [mailto:spencer.graves at pdf.com] > > Martin says, "This is another instance of S-Plus following R > behind and doing it incompatibly [with a reason?] ... ." > > This is one example of a major issue in "how to wage and win a > standards war", discussed by Shapiro and Varian (1998) > Information Rules >

I've been having an extremely hard time using the on board SATA controller on my nvidia based board. I have two 160gig Maxtor SATA drives attached to the on board controller, setup as software raid0. The problem is the array is extremely unreliable, where I'm getting constant I/O errors like: sd 0:0:0:0: SCSI error: return code = 0x00040000 end_request: I/O error, dev sda, sector

Hola comunidad XD, necesito ayuda con estola idea es que para cada valor del frame x4 si es cero ponga cerosino que ponga un valor del frame Nsinel cual tiene una estructura como % | n25% | 150% | 275% | 3100% | 4 y x4 tiene una cierta cantidad de valores en 0 (poco menos de la mitad pero varian aleatoriamente) y los demas un valor aleatorio entre 0 y 1Tomando en cuenta que si el

> No, it's Varian/Agilent. A big player in lab instruments. > > Funny thing, just googled them and apparently they've opensoured the culprit > software, and according to the below link, it's not locked to a particular > point release anymore! > > http://openvnmrj.org/Downloading/ > > It does however still require the original software - which _is_ locked

Estimados, tengo el siguiente problema: Tengo que graficar la concentracion de un metabolito en algunas muestras contra la concentracion del solvente con que fue extraido. Las concentraciones varian desde cero (para un control) hasta varios miles de unidades de concentracion (miliMolar). Para que se puedan diferenciar los puntos en el eje X, se ha usado una escala logaritmica. Hasta ahi todo

hi! I would like to ask help how to generate numbers from g-and-h distribution. This distribution is like normal distribution but span more of the kurtosis and skewness plane. Has R any package on how to generate them? Any help will be greatly appreciated. Thank you so much! Form, Filame Uyaco --------------------------------- [[alternative HTML version deleted]]

Hi, pchisq -> distribution function dchisq -> density function pval is the area under the curve, to calculte it you use distribution function which is the integral of density function. See: http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm http://mathworld.wolfram.com/DistributionFunction.html f(x) density function F(x) distribution function =Pr(X<x)= integral(f(x))

Hello, R experts, If I understand Ted's anwser correctly, then I can not contrast the mean yields between sections 1-8 and 9-11 under "Trt" but I can contrast mean yields for sections 1-3 and 6-11 because there exists significant interaction between two factors (Trt:section4, Trt:section5). Could I use the commands below to test the difference between sections 1-3 and 6-11 ?

Folks: I thought the following excerpt from Bruce McCullough's post would be a good candidate for the R fortunes package -- except that it's about Excel, not R! So I nominate it... but leave it to others to say whether it's really "qualified" to be nominated. ---- "The idea that the Excel solver "has a good reputation for being fast and accurate" does not

I''m trying to learn rails as I go along, and having a bit of trouble. There is an undefined method cropping that I don''t know why rails thinks should be there. Firstly, I''m using rails 3, ruby 1.9.2 I have a controller with an index action This part works fine, but i am trying to add a comment form to the page that is rendered by that index action. Supposing my

I have run a t.test in R, and received these results: Two Sample t-test data: rsa and umple t = 0.9819, df = 10, p-value = 0.3493 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: -76.1541 196.1541 sample estimates: mean of x mean of y 508.3333 448.3333 Can someone give me a detailed interpretation of the above results? Specifically,