Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## -----------------------------------------------------------------------------
test.data.csv <- textConnection("
86 , 54 , 39 , 219
76 , 35 , 45 , 168
24 , 53 , 73 , 190
1039 , 1148 , 2009 , 0")
test.data <- as.matrix(read.csv(test.data.csv, header=FALSE, strip.white=TRUE))
test.data
## -----------------------------------------------------------------------------
library(SPAS)
mod1 <- SPAS.fit.model(test.data,
model.id="No restrictions",
row.pool.in=1:3, col.pool.in=1:3)
SPAS.print.model(mod1)
## -----------------------------------------------------------------------------
mod2 <- SPAS.fit.model(test.data,
model.id="Logical pooling to single row",
row.pool.in=c(1,1,1), col.pool.in=1:3, row.physical.pool=FALSE)
SPAS.print.model(mod2)
## -----------------------------------------------------------------------------
mod3 <- SPAS.fit.model(test.data,
model.id="Physical pooling to single row",
row.pool.in=c(1,1,1), col.pool.in=1:3)
SPAS.print.model(mod3)
## -----------------------------------------------------------------------------
# do physical complete pooling
mod4 <- SPAS.fit.model(test.data,
model.id="Physical pooling all rows and last two colum ns",
row.pool.in=c(1,1,1), col.pool.in=c(1,1,3))
SPAS.print.model(mod4)
## -----------------------------------------------------------------------------
# do physical complete pooling
mod5 <- SPAS.fit.model(test.data,
model.id="Physical complete pooling",
row.pool.in=c(1,1,1), col.pool.in=c(1,1,1))
SPAS.print.model(mod5)
## -----------------------------------------------------------------------------
model.list <- mget( ls()[grepl("^mod.$",ls())])
names(model.list)
report <- plyr::ldply(model.list, function(x){
#browser()
data.frame(#version=x$version,
date = as.Date(x$date),
model.id = x$model.info$model.id,
s.a.pool =-1+nrow(x$fit.setup$pooldata),
t.p.pool =-1+ncol(x$fit.setup$pooldata),
logL.cond = x$model.info$logL.cond,
np = x$model.info$np,
AICc = x$model.info$AICc,
gof.chisq = round(x$gof$chisq,1),
gof.df = x$gof$chisq.df,
gof.p = round(x$gof$chisq.p,3),
Nhat = round(x$est$real$N),
Nhat.se = round(x$se $real$N))
})
report
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