Displaying 2 results from an estimated 2 matches for "tj_gerar".
2017 Jul 19
2
spaghetti plot - urgent
...eta 0 - input variable used to calculate PCR (the outcome)
beta1_7_gerar = rnorm(subjects, mean = -1, sd = .5)
beta1_7 = as.data.frame(matrix(beta1_7_gerar,nrow=subjects,ncol=1) ) # beta 1 - input variable used to calculate PCR (the outcome)
tj_gerar = seq.int(1, n.longitudinal.observations, 1)
epsilon_7_gerar = rnorm(5*subjects, mean = 0, sd = .1)
epsilon_7 = as.data.frame(matrix(epsilon_7_gerar,nrow=subjects,ncol=1) ) # epsilon_7 - input variable used to calculate P...
2017 Jul 19
0
spaghetti plot - urgent
...to calculate PCR (the outcome)
> beta1_7_gerar = rnorm(subjects, mean = -1, sd = .5)
> beta1_7 =
> as.data.frame(matrix(beta1_7_gerar,nrow=subjects,ncol=1) ) # beta 1 -
> input variable used to calculate PCR (the outcome)
>
> tj_gerar = seq.int(1,
> n.longitudinal.observations, 1)
> epsilon_7_gerar = rnorm(5*subjects, mean = 0, sd = .1)
> epsilon_7 =
> as.data.frame(matrix(epsilon_7_gerar,nrow=subjects,ncol=1) ) # epsilon_7
> - input var...