Displaying 3 results from an estimated 3 matches for "totalx".
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2005 Nov 09
2
help with legacy R code
...ongrate <- wrongfit[[1]][2]
good <- scan("rawdata.txt", list(x=0))
xmin = 0
newx = good$x
xmean = mean(newx)
xmax = max(newx)+0.15
goodhist <- hist(newx, br=seq(from=0,to=xmax,by=0.15), probability=T,
col="lightyellow")
initmean <- (min(newx)+max(newx))/2
totalx <- length(newx)
wrongmeanshift <- wrongmean + 0.2
wrongper <- pgamma(wrongmeanshift, wrongshape, wrongrate)
nfalseundermean <-
which(abs(newx-wrongmeanshift)==min(abs(newx-wrongmeanshift)))
initnfalse <- nfalseundermean / wrongper
fitmean <- -1
fitsd <- 0
fitnfalse <...
2012 Jul 06
3
Tables extraction in R ?
Hi,
I 'm a novice user of R statistics and my hands-on experience with it is
minimal.
I want to create a table for my MBA course assignment that looks like the
ones that SPSS and MS Excel produces ,the data that the table has to include
are the following :
> table(agec)
agec
1 2 3
749 160 32
> x=table(agec)
> x
agec
1 2 3
749 160 32
>
> prop.table(x)
agec
2012 Oct 07
1
two indirect effects of path analysis
Hello,
This is Elaine.
I am trying a path analysis using lavaan Package.
There are three explanatory variables: X, Z, and M.
The response variable is Y.
A, b, and c have direct effects on Y.
On the other hand, X and Z also have direct effects on M.
In other words, X and Z have indirect effects on Y.
I found the code example of lavaan package describes only one indirect
effect as below.
Please