Displaying 4 results from an estimated 4 matches for "samplestat".
Did you mean:
samplestats
2013 Apr 29
0
lavaan and semTools warning message
Hello all,
I am running a simple path analysis with the function sem.mi (of semTools)
after doing multiple imputation in my (missing) data. However, depending on
the option to combine the chi-square, I get the following warning messages:
Warning messages:
1: In estimateVCOV(lavaanModel, samplestats = lavaanSampleStats, ... :
lavaan WARNING: could not compute standard errors!
2: In pchisq(chisq, df) : NaNs produced
3: In estimateVCOV(lavaanModel, samplestats = lavaanSampleStats, ... :
lavaan WARNING: could not compute standard errors!
4: In pchisq(chisq, df) : NaNs produced
5: In esti...
2012 Apr 04
1
BRugs crash, question
(Using BRugs 0.7-5, R 2.14.2 32-bit on 64-bit Windows 7, OpenBUGS 3.2.1)
1. BRugs crashes R for me as follows. Sorry about the lack of detail; please let
me know if / how to supply a more useful bug report on this issue.
fit <- BRugsFit(...)
# BRugs and OpenBUGS runs fine, the parameter estimates are reasonable
# across 3 chains
samplesBgr("beta") # crash
2005 Feb 03
0
Displaying a distribution -- was: Combining two histograms
...arman can read a chicken's entrails, with a similar recourse to scientific principles. Interpreting Q-Q plots is more a visceral than an intellectual exercise. The uninitiated are often mystified by the process. Experience is the key here."
http://www.maths.murdoch.edu.au/units/statsnotes/samplestats/qqplot.html
Having said that I would suggest many people have difficulty understanding density plots, but think that they can understand histograms.
I am currently undergoing shaman training ;-) and find that my interpretation of the plots owes more to experience than it does to a structured met...
2011 Apr 30
4
QQ plot for normality testing
Hi all,
I am trying to test wheater the distribution of my samples is normal with QQ plot.
I have a values of water content in clays in around few hundred samples. Is the code :
qqnorm(w) #w being water content
qqline(w)
sufficient?
How do I know when I get the plots which distribution is normal and which is not?
Thanks, m
[[alternative HTML version