Displaying 2 results from an estimated 2 matches for "t_a".
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2004 Feb 02
1
glm.poisson.disp versus glm.nb
...ay layout of counts involving two fixed
factors, when data are Poisson distributed, and when data are extra
dispersed". In R I coded their C(alpha) test statistic (called TNBI) for
interaction for the case where the counts are extra-dispersed, as well as
their test for extra-dispersion (called T_a). Using the Quine data set
(Quine, 1975) the authors collapse the orginal 4x2x2x2 study design into a
2x4 table and obtained estimates of TNBI=10.36 and T_a=90.81.
Using the dispersion estimate from glm.poisson.disp and the estimates for mu
I got exactly the same results for TNBI and T_a. This made...
2012 Jun 04
2
paquete SPEI función thornthwaite
Hola eRReros.
Os lo explico con un ejemplo:
# Cargamos los paquetes y el ejemplo
install.packages("SPEI")
library("SPEI")
data(wichita)
# los primeros 12 datos
head(wichita,12)
# mi subset de los primeros 12 datos
meu<-wichita[c(1:12),]
meu
# como veis los valores de TMED son iguales en ambos dataframes.
# ahora viene el problema
# calculamos