[R] SEM:Standard error of std.coef estimates?
bastiaansoul at hotmail.com
Wed May 20 16:53:41 CEST 2009
Thank you for your reply. I would like to try the bootstrapping method. I
have the boot package, however, I have not used it before. I do not know how
to compute the correct code to calculate the standarized errors. If possible
and easily achievable, could you please tell me what to do specifically or
provide some more specific guidelines?
John Fox-6 wrote:
> Dear Bastiaan,
> The standard errors of the standardized coefficients aren't simple because
> the standard deviations used to standardize the coefficients are also
> subject to sampling error. I can think of two ways to get standard errors
> for the standardized coefficients: by the delta method and by
> Neither method is implemented in the sem package. Figuring out how to
> the former would require some work; I'll put it on my to-do list, but may
> not get to it. The second approach could easily be implemented via the
> I hope this helps,
>> -----Original Message-----
>> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
>> Behalf Of BdeGroot
>> Sent: May-20-09 7:41 AM
>> To: r-help at r-project.org
>> Subject: [R] SEM:Standard error of std.coef estimates?
>> I am currently working with the sem package in R, to create pathway
>> diagrams. Id like to use the standardized path coeffcients. To get these,
>> use std.coef. However, using this yields only the standardized
>> but does not give me the standard error. Does someone know how to get
>> std.coef to show the standard error of the standardized path coefficients
>> When I use std.coef, all I get is this:
>> Std. Estimate
>> par1 par1 0.39499 com_veg <--- tempm
>> par2 par2 0.35231 SNutBili <--- tempm
>> par3 par3 -0.68170 S_SSI4 <--- tempm
>> par4 par4 -0.39145 com_veg <--- Wdeficit
>> par5 par5 -0.60025 SNutBili <--- Wdeficit
>> par6 par6 -0.20562 S_SSI4 <--- Wdeficit
>> par7 par7 0.14871 SNutBili <--- com_veg
>> par8 par8 0.14905 S_SSI4 <--- com_veg
>> par9 par9 -0.39164 S_SSI4 <--- SNutBili
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> R-help at r-project.org mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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