Hi anyone, I am getting these unusual plot patterns with my data using random effects models. Can you help find the mistake in plots? Do I have to transform the data? Thanks for the help in advance.. -------------- next part -------------- A non-text attachment was scrubbed... Name: QQ plot hibp21 BP.sub4.png Type: image/png Size: 1883 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20130119/7c06e77a/attachment.png> -------------- next part -------------- A non-text attachment was scrubbed... Name: Fitted vs residuals HiBP ~time+Sex+Maternal Age, random intercept.png Type: image/png Size: 3470 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20130119/7c06e77a/attachment-0001.png> -------------- next part -------------- A non-text attachment was scrubbed... Name: HiBP ~Overweight qq plots residuals,random effects.png Type: image/png Size: 3425 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20130119/7c06e77a/attachment-0002.png> -------------- next part -------------- A non-text attachment was scrubbed... Name: QQ plot HIBP ~Overweight.png Type: image/png Size: 3452 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20130119/7c06e77a/attachment-0003.png>
Interpretation of the plots
2 messages · Usha Gurunathan, Baldwin, Jim -FS
Given that it appears that your dependent variable (HiBP) only takes on two values (0 and 1), the appearance of the residual plots is not unexpected. But you shouldn't expect a binary dependent variable to have residual plots that look like residual plots from normally distributed continuous dependent variables. Jim Baldwin -----Original Message----- From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Usha Gurunathan Sent: Friday, January 18, 2013 5:04 PM To: r-sig-mixed-models at r-project.org Subject: [R-sig-ME] Interpretation of the plots Hi anyone, I am getting these unusual plot patterns with my data using random effects models. Can you help find the mistake in plots? Do I have to transform the data? Thanks for the help in advance.. This electronic message contains information generated by the USDA solely for the intended recipients. Any unauthorized interception of this message or the use or disclosure of the information it contains may violate the law and subject the violator to civil or criminal penalties. If you believe you have received this message in error, please notify the sender and delete the email immediately.