Displaying 4 results from an estimated 4 matches for "fastfood".
2013 Mar 17
1
Samba4 Dc Winbind and uidNumbers
...and added a uidnumber (ADSIEdit). From
this and what I have below, user Jim should have uidNumber of 12345 (from
AD) and not be prefixed with Domain name. This isn't happening. Does anyone
have any idea why not?
cheers,
Jim
Excerpt from getent passwd:
saned:x:110:117::/home/saned:/bin/false
FASTFOOD\Administrator:*:0:100::/home/FASTFOOD/Administrator:/bin/false
FASTFOOD\Guest:*:3000011:3000012::/home/FASTFOOD/Guest:/bin/false
FASTFOOD\krbtgt:*:3000016:100::/home/FASTFOOD/krbtgt:/bin/false
FASTFOOD\jim:*:3000019:100:Jim Chuffff:/home/FASTFOOD/jim:/bin/false
smb.conf:
[global]
workgrou...
2009 Feb 26
1
error message and convergence issues in fitting glmer in package lme4
...evel. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when expanding the number of covariates I usually encounter the following error message.
>
> gm8 <-
> glmer(DIAB05F~AGE+as.factor(SEX)+poolt+poolx+poverty+fastfood+(1|as.factor(diab$fips)), family = binomial(link="logit"), data = diab, doFit=TRUE) Error in validObject(.Object) :
> invalid class "mer" object: Slot Zt must by dims['q'] by
> dims['n']*dims['s']
>
> In the above, the response is perso...
2009 Feb 26
1
(no subject)
...ce at US county level. To do this I'm using the glmer() function in package lme4. I can fit relatively simple models (i.e. few covariates) but when expanding the number of covariates I usually encounter the following error message.
gm8 <- glmer(DIAB05F~AGE+as.factor(SEX)+poolt+poolx+poverty+fastfood+(1|as.factor(diab$fips)), family = binomial(link="logit"), data = diab, doFit=TRUE)
Error in validObject(.Object) :
invalid class "mer" object: Slot Zt must by dims['q'] by dims['n']*dims['s']
In the above, the response is person-level diabetes status...
2013 Mar 21
1
Error Message During ANOVA
I am teaching myself R for use in Psych research. I don't understand the error message I am getting or how to fix it. Any suggestions will be greatly appreciated
df1=read.table("fastfood.txt", header=TRUE); df1
>
> c(t(as.matrix(df1)))
>
> r = c(t(as.matrix(df1))) # response data
>
> r
>
f=c("item1","item2", "item3")
> k=3
> n=6
> tm =gl(k,1, n*k, factor(f))
> tm
[1] item1 item2 item3 item1 item2 item3 item1 item2...