Displaying 4 results from an estimated 4 matches for "lsidata".
2024 May 05
2
lmer error: number of observations <= number of random effects
...er, and age in
another column. I used the code below to run my model using lmer. However,
I get the following error. Please let me know how I can solve this error.
Please note that I have 50% missing data in SA at age 12.
modelLSI_maineff_RE <- lmer(SA ~ Index1* LSI+ (1 + Index1+LSI |ID), data =
LSIDATA, control = lmerControl(optimizer ="bobyqa"), REML=TRUE)
summary(modelLSI_maineff_RE)
Error: number of observations (=1080) <= number of random effects (=1479)
for term (1 + Index1 + LSI | ID); the random-effects parameters and the
residual variance (or scale parameter) are probably uni...
2024 May 05
2
lmer error: number of observations <= number of random effects
...er, and age in
another column. I used the code below to run my model using lmer. However,
I get the following error. Please let me know how I can solve this error.
Please note that I have 50% missing data in SA at age 12.
modelLSI_maineff_RE <- lmer(SA ~ Index1* LSI+ (1 + Index1+LSI |ID), data =
LSIDATA, control = lmerControl(optimizer ="bobyqa"), REML=TRUE)
summary(modelLSI_maineff_RE)
Error: number of observations (=1080) <= number of random effects (=1479)
for term (1 + Index1 + LSI | ID); the random-effects parameters and the
residual variance (or scale parameter) are probably uni...
2024 May 06
0
[R-sig-ME] lmer error: number of observations <= number of random effects
...er column. I used the code below to run my model using lmer. However,
> I get the following error. Please let me know how I can solve this error.
> Please note that I have 50% missing data in SA at age 12.
> modelLSI_maineff_RE <- lmer(SA ~ Index1* LSI+ (1 + Index1+LSI |ID), data =
> LSIDATA, control = lmerControl(optimizer ="bobyqa"), REML=TRUE)
> summary(modelLSI_maineff_RE)
> Error: number of observations (=1080) <= number of random effects (=1479)
> for term (1 + Index1 + LSI | ID); the random-effects parameters and the
> residual variance (or scale paramet...
2024 May 06
0
[R] [R-sig-ME] lmer error: number of observations <= number of random effects
...er column. I used the code below to run my model using lmer. However,
> I get the following error. Please let me know how I can solve this error.
> Please note that I have 50% missing data in SA at age 12.
> modelLSI_maineff_RE <- lmer(SA ~ Index1* LSI+ (1 + Index1+LSI |ID), data =
> LSIDATA, control = lmerControl(optimizer ="bobyqa"), REML=TRUE)
> summary(modelLSI_maineff_RE)
> Error: number of observations (=1080) <= number of random effects (=1479)
> for term (1 + Index1 + LSI | ID); the random-effects parameters and the
> residual variance (or scale paramet...