search for: pearsond

Hi! <http://r.789695.n4.nabble.com/file/n4651293/qq.png> We are stuck with a problem considering the qqplot of a dataset. We are trying to discover what kind of distribution this is. We already tried to normal, exponential or the logaritmical distribution but none of those are able to solve our problem. Is there someone able to tell us what kind deformation we should try? (I'm

...hanks in advance. Frank colors <- c("red", "blue", "darkgreen", "gold", "black") labels <- c("1", "2","3") pdf("C:\\Users\\Frank\\Documents\\R\\Scripts\\pt4_Graph.pdf") ## load Pearson package library(PearsonDS) ##range for x axis no_of_increments<- 100 x <- seq(-0.06, +0.06, length=no_of_increments) ##parameters for the plots of three distributions mx<- c(1.95, 18.35,1.93) nux<- c(0.08,-1.02,0.25) locationx<- c(0.0048,-0.00254,0.00189) scalex<- c(0.0115,0.082187,0.026675) ## calculate...

Hi team, I am facing issues with PearsonIV distribution fitting in R. I am applying Hyperbolic and PearsonIV distributions on the equity returns in UK over a period of 30 years. For the same data set i am getting strikingly different results under which Hyperbolic distribution does produce negative percentiles of the return after fitting but PearsonIV distribution does not. I think there is an

I am a very new R user. I am trying to write functons and debug functions. One problem for me is that I need to alwasy copy the whole function body and resubmit to R console every time I changed even one line of the function. Because I have long algorithm function, copying and pasting is very tedious for me. I assume if I save the function files, R should be able to just use the new function body

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical

CRAN (and crantastic) updates this week New packages ------------ Updated packages ---------------- New reviews ----------- This email provided as a service for the R community by http://crantastic.org. Like it? Hate it? Please let us know: cranatic at gmail.com.

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >