s_pauc: summarize paucs

In PKPDmisc: Pharmacokinetic and Pharmacodynamic Data Management Functions

Description

summarize paucs

Usage

s_pauc_(df, idv, dv, paucs, digits = Inf)

s_pauc(df, idv, dv, paucs, digits = Inf)

Arguments

df	data frame
idv	string name for time column for pauc slice
dv	string name for dependent variable column (eg. dv or cobs)
paucs	list of ranges for pauc calculation
digits	number of decimals to round result before returning

Examples

library(dplyr)
sd_oral_richpk  %>% group_by(ID) %>% s_pauc(Time, Conc, list(c(0,8), c(8, 24)))
sd_oral_richpk  %>% group_by(ID) %>% s_pauc_("Time", "Conc", list(c(0,8), c(8, 24)))

Example output

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

# A tibble: 50 x 3
# Groups:   ID [50]
      ID pAUC0_8 pAUC8_24
   <int>   <dbl>    <dbl>
 1     1    204.    181. 
 2     2    523.    680. 
 3     3    316.    150. 
 4     4    564.    655. 
 5     5    302.    186. 
 6     6    154.    141. 
 7     7    393.    346. 
 8     8    255.    199. 
 9     9    286.    413. 
10    10    122.     39.6
# ... with 40 more rows
# A tibble: 50 x 3
# Groups:   ID [50]
      ID pAUC0_8 pAUC8_24
   <int>   <dbl>    <dbl>
 1     1    204.    181. 
 2     2    523.    680. 
 3     3    316.    150. 
 4     4    564.    655. 
 5     5    302.    186. 
 6     6    154.    141. 
 7     7    393.    346. 
 8     8    255.    199. 
 9     9    286.    413. 
10    10    122.     39.6
# ... with 40 more rows

PKPDmisc documentation built on April 14, 2020, 5:49 p.m.