R: Predictive Analysis by Tony Fischetti & Eric Mayor & Rui Miguel Forte

Author:Tony Fischetti & Eric Mayor & Rui Miguel Forte [Fischetti, Tony]
Language: eng
Format: azw3
Publisher: Packt Publishing
Published: 2017-03-31T04:00:00+00:00

The result, 5.106792, is identical.

It is possible to obtain the intercept in each of the hospitals as follows:

coef(null)

We have already computed the mean at the hospital level (which is stored in the means object). We can therefore display those easily:

means

Both outputs are presented here (intercepts on the left). Note that we can notice minor differences due to the computations using lmer(), because these are based on the distribution of the values in the hospitals:

The intercepts we display here are composed of a fixed part (the overall intercept) and a random part (one value per hospital), which correspond to the deviation of each hospital. The random part can be obtained using the ranef() function:

ranef(null)

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.