livia wrote:
I would like to fit a Pareto Distribution and I am using the following codes.
I thought the fitted (fit1) should be the fitted value for the data, is it
correct? As the result of the fitted turns out to be a single value for
all.
fit=vglm(ycf1 ~ 1, pareto1(location=alpha),
Sebastian Kruk wrote:
Dear everyone:
I have to finish my thesis to graduate as Bs. in Economics.
I choose to estimate a New Keynesian Phillips Curve (NKPC) for Uruguay
using Generalized Moment Method (GMM).
I do not know programming or R but I would like to use it.
Should I use gee,
On Sat, 2007-01-06 at 01:21 -0500, Zhenqiang Lu wrote:
Hello R-users,
I am using gls function in R to fit a model with certain correlation
structure.
The medol as:
fit.a-gls(y~1,data=test.data,correlation=corAR1(form=~1|aa),method=ML)
mu-summary(fit.a)$coefficient
With the toy data I
roger bos wrote:
I am trying to calculate the weighted mean for a of 10 deciles and I
get an error:
decile - tapply(X=mat$trt1m, INDEX=mat$Rank, FUN=weighted.mean, w=mat$mcap)
Error in FUN(X[[1]], ...) : 'x' and 'w' must have the same length
All three of my inputs have the same length,
On Wed, 2005-06-29 at 18:19 +0200, Andreas Neumann wrote:
Dear all,
I am using poly() in lm() in the following form.
1 DelsDPWOS.lm3 - lm(DelsPDWOS[,1] ~ poly(DelsPDWOS[,4],3))
2 DelsDPWOS.I.lm3 - lm(DelsPDWOS[,1] ~ poly(I(DelsPDWOS[,4]),3))
3 DelsDPWOS.2.lm3 -
Emmanuelle Comets wrote:
I have used library Design (Frank Harrell) in the past but when I tried
this week, I get :
library(Design)
Error in eval(expr, envir, enclos) : Object formula.default not found
I updated to the latest version of the library (2.0) with the same
result. My version of R
Matt Mohebbi wrote:
Hello,
I have data of the following form:
data - data.frame(type=c(c,d,e), size=c(10,20,30), count=c(20,10,5))
data
type size count
1c 1020
2d 2010
3e 30 5
I would like to compute the quantiles of size given the counts. For
instance, in this
Angelo Secchi wrote:
Hi,
I'm using the ineq package to calculate some concentration measures
(Gini, Herfindal, ...) and I was wondering if there's around also a
function to calculate standard error on these measures. If not, is anybody
aware of where I can find a reference on this point?
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--
Markus Jäntti [EMAIL PROTECTED]
Abo Akademi University
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- rbind(d1, d2)
str(d1) # - id is character
str(d2) # - id is character
str(d3) # - id is factor
Regards,
Markus
--
Markus Jäntti [EMAIL PROTECTED]
Statistics Finland
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