[R] fitting distribution

2014-09-29 Thread eliza botto
Dear UseRs, I have a dataset in the following form. > dput(Da) structure(c(0.0238095238095238, 0.0476190476190476, 0.0714285714285714, 0.0952380952380952, 0.119047619047619, 0.142857142857143, 0.167, 0.19047619047619, 0.214285714285714, 0.238095238095238, 0.261904761904762, 0.285714

[R] Fitting distribution in range

2011-02-25 Thread saray
Hello. I am trying to fit my data sample x with different distributions such that the integral from min(x) to max(x) of the fitted distribution will be one. Therefore I have wrote my own log-likelihood functions and then I am using mle {stats4}. So, for example: ll_gamma <- function(a,b) {

[R] Fitting Distribution to Data

2009-11-30 Thread reezwan you
Hello everyone: I tried to fit a Beta distribution on a right-skewed dataset using: fitdistr(temp,densfun="beta",start=list(shape1=3,shape2=2)) To assess the fit, I proceeded as follows: Using distribution parameters from the sample resulting from fitdistr() function, I generated 1000 samples

Re: [R] fitting distribution

2009-05-19 Thread Stefan Grosse
On Tue, 19 May 2009 14:04:19 +1000 Kon Knafelman wrote: KK> i have the sample variances for 1000 samples, and i want to fit it KK> to a chi-squared distribution. KK> can someone please help me fit this to a chi-squared distribution KK> with n degrees of freedom. Thanks a lot Dear Kon, 1. ple

[R] fitting distribution

2009-05-18 Thread Kon Knafelman
Hey Guys, i have the sample variances for 1000 samples, and i want to fit it to a chi-squared distribution. after making a loop for the simulation initially, i have the following code to compute the variances samples = replicate(n, rnorm(m, 0, 1), simplify=FALSE) variances = sapply(samples, va