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juliuslaak
juliuslaak
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I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the following model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

I haveand the following questions.

  1. Is it theoreticallythe above model syntactically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge? I, i.e. it gives the following warning?

enter image description here

Thanks in advance

I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the following model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

I have the following questions.

  1. Is it theoretically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge? I.e. it gives the following warning

enter image description here

Thanks in advance

I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

and the following questions.

  1. Is the above model syntactically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge, i.e. it gives the following warning?

enter image description here

Thanks in advance

deleted 1 character in body
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juliuslaak
juliuslaak
  • 13
  • 1
  • 4

I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the following model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

I have the following questions.

  1. Is it theoretically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge? I.e. it gives the following warning

enter image description here

Thanks in advancedadvance

I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the following model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

I have the following questions.

  1. Is it theoretically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge? I.e. it gives the following warning

enter image description here

Thanks in advanced

I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the following model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

I have the following questions.

  1. Is it theoretically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge? I.e. it gives the following warning

enter image description here

Thanks in advance

Source Link
juliuslaak
juliuslaak
  • 13
  • 1
  • 4

Two factor linear mixed effect model with multiple slopes (lmer)

I have data with two factors TREATMENT and TIME both with two levels and a dependent variable RATIO. Besides random intercept for subjects, I want to specify random slopes for both of the independent variables for the mixed effect model in R using lmer.

Currently I have the following model

lmer(RATIO ~ TREATMENT + TIME + (1 + TREATMENT + TIME | SUBJECT), data=my.data)

I have the following questions.

  1. Is it theoretically correct for specifying different random slopes for treatment and time?
  2. What could be the reason that the model does not converge? I.e. it gives the following warning

enter image description here

Thanks in advanced