Dear all,
I am currently learning to run logistic regression models with R. Would
someone tell me what this exactly means:
Estimated scale (compare to 1 ) 1.746724
If the value is higher or lower than 1, what should I do?
The complete results of the model were as follows:
Generalized linear mixed model fit using Laplace
Formula: success ~ diffca + (1 | partner1) + (1 | partner2) + (1 | target)
Data: cascoresept08.df
Family: binomial(logit link)
AIC BIC logLik deviance
105.8 121.8 -47.89 95.79
Random effects:
Groups Name Variance Std.Dev.
partner1 (Intercept) 5.0000e-10 2.2361e-05
partner2 (Intercept) 5.0000e-10 2.2361e-05
target (Intercept) 1.0461e+00 1.0228e+00
number of obs: 182, groups: partner1, 19; partner2, 19; target, 13
Estimated scale (compare to 1 ) 1.746724
Fixed effects:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -4.5053 0.9174 -4.911 9.06e-07 ***
diffca 0.7631 0.1130 6.756 1.42e-11 ***
I thank you in advance!
Annie
Good afternoon I have what I hope is a simple logistic regression issue. I started with 44 independent variables and then used the drop1, test="chisq" to reduce the list to 8 significant independent variables. drop1(sep22lr, test="Chisq") and wound up with this model: Model: MIN_Mstocked ~ ORG_CODE + BECLBL08 + PEM_SScat + SOIL_NUTR + cSEEDSRCE_SW + cMSP + ceFFP + cEXT_Cold 4 of the remaining variables are categorical and 4 are continuous. However, when I run a glm and then a summary on the glm - some of the categorical data is missing from the output. The PEM_SScat is missing only one variable ... the BECLBL08 is missing several variables ... the ORG_CODE is missing 4 .. and the SOIL_NUTR is missing 1 variable. It seems arbitrary to the number of variables missing. Is there something wrong with my syntax in calling the logistic model? Am I not understanding the inputs correctly? Any help would be appreciated. Darin Brooks Geomatics/GIS/Remote Sensing Coordinator Kim Forest Management Ltd. Cranbrook Office Cranbrook, BC www.kfm.ca <http://www.kfm.ca/> [[alternative HTML version deleted]]