sbp_lsmeans: Calculate LS Means of SBP for Spatial Correlation Model
In jjwillard/wfbmcr: Clean and Model EHR Data - WFBMC
Description
Usage
Arguments
Value
See Also
Examples
Description
This function calculates a spatially correlated covariance matrix and then finds the LS means for
SBP from an EHR dataset which has the following names: avg_sbp, sbp_calc_date, and Patient.MRN
Usage
1
Arguments
df
EHR dataset which has had variable names properly formatted to match modeling
Value
A data frame with lsmeans for avg_sbp by month and year
See Also
Examples
1
2
3
4
## Not run:
sbp_lsmeans(df)
## End(Not run)
jjwillard/wfbmcr documentation built on May 7, 2019, 9:21 p.m.
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Description Usage Arguments Value See Also Examples
Description
This function calculates a spatially correlated covariance matrix and then finds the LS means for SBP from an EHR dataset which has the following names: avg_sbp, sbp_calc_date, and Patient.MRN
Usage
1 |
Arguments
df |
EHR dataset which has had variable names properly formatted to match modeling |
Value
A data frame with lsmeans for avg_sbp by month and year
See Also
Examples
1 2 3 4 | ## Not run:
sbp_lsmeans(df)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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