Re: [R] Determining model parameters

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 [EMAIL PROTECTED] wrote: | I am trying to fit a set of data to a Weibull distribution. Because the implementation requires that I put the data in the range of 0 < x < 1 I have a "normailze" function: | | normalize <- function(x) { | y <- (x-min(

Re: [R] Determining model parameters

I am trying to fit a set of data to a Weibull distribution. Because the implementation requires that I put the data in the range of 0 < x < 1 I have a "normailze" function: normalize <- function(x) { y <- (x-min(x)) / (max(x) - min(x)) y = y + 0.5 * (y == 0) -0.5 * (y == 1) retur

Re: [R] Determining model parameters

~ The beta distribution only applies to data that are bounded between 0 and 1 (in some cases strictly bounded, i.e. 0 wrote: |> charter.net> writes: |> |>> If I have some data that based on the historgram and other plots it "looks" |> like a beta distribution. Is there |>> a function or functi

Re: [R] Determining model parameters

charter.net> writes: > If I have some data that based on the historgram and other plots it "looks" like a beta distribution. Is there > a function or functions within R to help me determine the model parameters for such a distirbution? library(MASS) ?fitdistr _

[R] Determining model parameters

This may be a begining question. If so, please bear with me. If I have some data that based on the historgram and other plots it "looks" like a beta distribution. Is there a function or functions within R to help me determine the model parameters for such a distirbution? Similarily for other "