search for: samplestat

Displaying 4 results from an estimated 4 matches for "samplestat".

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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