search for: lawstat

I am having problem loading packages in the newest version of R (2.13.0) on my Mac. I have tried to install various packages (e.g. lawstat, Rcmdr, car) and load them using the Package Installer and Package Manager menu options but I get the follow error: > library(lawstat) Loading required package: mvtnorm Error: package 'mvtnorm' could not be loaded In addition: Warning message: In library(pkg, character.only = TRUE, l...

...this test? Or is it that rnorm() is not a robust random number generator? I looked at the skewness and excess kurtosis, and the former seems to be unstable, which leads me to think that is why JB is failing. Here are my outputs from successive runs of rjb.test (the robust Jarque Bera from the lawstat package). >set.seed(100) >y <- rnorm(100000);rjb.test(y);skewness(y)[1];kurtosis(y)[1] Robust Jarque Bera Test data: y X-squared = 1.753, df = 2, p-value = 0.4162 [1] -0.01025744 [1] 0.0008213325 >y <- rnorm(100000);rjb.test(y);skewness(y)[1];kurtosis(y)[1] R...

Hi group, I would like to draw multiple Lorenz curves in a single plot using data already prepared. Here is a simple example: require("lawstat") lorenz.curve(c(1,2,3),c(4,5,4)) lorenz.curve(c(1,2,3),c(4,2,1)) This example draws two separate graphs. How can I combine them in a distinguishable way? I tried ?polygon without success... Ralf

Hello, I notice that when I do Levene's test to test equality of variances across levels of a factor, I get different answers in R and SPSS 16. e.g.: For the chickwts data, in R, levene.test(weight, feed) gives F=0.7493, p=0.5896. SPSS 16 gives F=0.987, p=0.432 Why this difference? Which one should I believe? (I would like to believe R :) Ravi -- View this message in context:

Hi, What package(s) must I install so that I can apply the Levene' test in my data? I tried 'lawstat' but dependency ?VGAM? is not available for this package. I am using Rstudio Version 1.1.383 Tks [[alternative HTML version deleted]]

Hola a todos: Hace unos meses estuve preguntando sobre la prueba de Thom para comprobar la homogeneidad de series temporales sobre datos de radiación e insolación (después he visto que también se usa con otras variables meteorológicas) [0]. El caso es que por distintas razones no había podido avanzar en el asunto y ahora vuelvo sobre él. Creé una función para realizar la prueba de Thom pero

Dear all, I am trying to look for a built in function that performs the cochran Q test. that is, cochranq.test(X) where X is a contingency table (maybe a matrix or data.frame). The output will naturally be the test statisitcs, p-value, etc. A quick search on Google gives me the cochran.test in the 'outlier' package, but I had a look at the description of the test and it doesn't look

I've been attempting to understand the one-sample run test for randomness. I've found run.test{tseries} and run.test{lawstat}. Both use a large sample approximation for distribution of the total number of runs in a sample of n1 observations of one type and n2 observations of another type. I've been unable to find R code to generate the exact distribution and would like to see how this could be done (not homework)....

...questions: Can I do the same thing like above, except, including the "multiply" sign between the factors, check the overall significance (for equal variances) and go from there? model<- lm(y~x1*x2) summary(lm(abs(model$resid~x1*x2))). Right now I am using levene.test() from the 'lawstat' package and just adding another column to my data: mydata$group<-rep(letters[1:9],each=5), where letters[1:9] are for 9 factor/level combination and each=5 since I have 5 replicates each. Then I run levene.test(mydata$y, mydata$group, location="mean") and it works fine. Thanks fo...

...oject.org] On Behalf Of Marcelo > Mariano Silva > Sent: Monday, January 15, 2018 12:49 PM > To: r-help at r-project.org > Subject: [R] About levene.test > > Hi, > > What package(s) must I install so that I can apply the Levene' test in my data? > > I tried 'lawstat' but dependency ?VGAM? is not available for this package. > > > I am using Rstudio Version 1.1.383 > > > Tks > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRI...

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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