View source: R/calc_clint_point.R
calc_clint_point | R Documentation |
This function calculates a point estimate of intrinsic hepatic clearance (Clint) using mass spectrometry (MS) peak area data collected as part of in vitro measurements of chemical clearance, as characterized by the disappearance of parent compound over time when incubated with primary hepatocytes \insertCiteshibata2002predictioninvitroTKstats.
calc_clint_point(
FILENAME,
data.in,
good.col = "Verified",
output.res = FALSE,
sig.figs = 3,
INPUT.DIR = NULL,
OUTPUT.DIR = NULL,
verbose = TRUE
)
FILENAME |
A string used to identify the input level-2 file, "<FILENAME>-Clint-Level2.tsv" (if importing from a .tsv file), and/or used to identify the output level-3 file, "<FILENAME>-Clint-Level3.tsv" (if exporting). |
data.in |
(Data Frame) A level-2 data frame generated from the
|
good.col |
(Character) Column name indicating which rows have been verified, data rows valid for analysis are indicated with a "Y". (Defaults to "Verified".) |
output.res |
(Logical) When set to |
sig.figs |
(Numeric) The number of significant figures to round the exported result table (level-3).
(Note: console print statements are also rounded to specified significant figures.)
(Defaults to |
INPUT.DIR |
(Character) Path to the directory where the input level-2 file exists.
If |
OUTPUT.DIR |
(Character) Path to the directory to save the output file.
If |
verbose |
(logical) Indicate whether printed statements should be shown. (Default is TRUE.) |
The input to this function should be "level-2" data. Level-2 data is level-1,
data formatted with the format_clint
function, and curated
with a verification column. "Y" in the verification column indicates the
data row is valid for analysis.
The data frame of observations should be annotated according to these types:
Blank | Blank |
Hepatocyte incubation concentration vs. time | Cvst |
Clint is calculated using lm
to perform a linear regression of
MS response as a function of time.
If the output level-3 result table is chosen to be exported and an output
directory is not specified, it will be exported to the user's R session
temporary directory. This temporary directory is a per-session directory
whose path can be found with the following code: tempdir()
. For more
details, see https://www.collinberke.com/til/posts/2023-10-24-temp-directories/.
As a best practice, INPUT.DIR
(when importing a .tsv file) and/or OUTPUT.DIR
should be
specified to simplify the process of importing and exporting files. This
practice ensures that the exported files can easily be found and will not be
exported to a temporary directory.
A level-3 data frame with one row per chemical, contains a point estimate of intrinsic clearance (Clint), estimates of Clint of assays performed at 1 and 10 uM (if tested), the p-value and the Akaike Information Criterion (AIC) of the linear regression fit for all chemicals in the input data frame.
John Wambaugh
shibata2002predictioninvitroTKstats
## Load example level-2 data
level2 <- invitroTKstats::clint_L2
## scenario 1:
## input level-2 data from the R session and do not export the result table
level3 <- calc_clint_point(data.in = level2, output.res = FALSE)
## scenario 2:
## import level-2 data from a 'tsv' file and export the result table to
## same location as INPUT.DIR
## Not run:
## Refer to sample_verification help file for how to export level-2 data to a directory.
## Unless a different path is specified in OUTPUT.DIR,
## the result table will be saved to the directory specified in INPUT.DIR.
## Will need to replace FILENAME and INPUT.DIR with name prefix and location of level-2 'tsv'.
level3 <- calc_clint_point(# e.g. replace with "Examples" from "Examples-Clint-Level2.tsv"
FILENAME="<level-2 FILENAME prefix>",
INPUT.DIR = "<level-2 FILE LOCATION>",
output.res = TRUE)
## End(Not run)
## scenario 3:
## input level-2 data from the R session and export the result table to the
## user's temporary directory
## Will need to replace FILENAME with desired level-2 filename prefix.
## Not run:
level3 <- calc_clint_point(# e.g. replace with "MYDATA"
FILENAME = "<desired level-2 FILENAME prefix>",
data.in = level2,
output.res = TRUE)
# To delete, use the following code. For more details, see the link in the
# "Details" section.
file.remove(list.files(tempdir(), full.names = TRUE,
pattern = "<desired level-2 FILENAME prefix>-Clint-Level3.tsv"))
## End(Not run)
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