timetodayFAERS | R Documentation |
Change all time units to days in the data filtered by filter_by_occu_FAERS(). This function converts age and time units in the data to days, and processes occupation and reaction data.
time_to_day_FAERS(workingdir = NULL, usexistRData = FALSE, filteres = NULL)
workingdir |
Directory containing |
usexistRData |
Logical. Specifies whether to use |
filteres |
Filtered results for changing time units. Used only when |
This package includes example data files in extdata
:
faers_ascii_2015q1_example.zip
: Example dataset 1.
faers_ascii_2015q2_example.zip
: Example dataset 2.
faers_ascii_2015q3_example.zip
: Example dataset 3.
faers_ascii_2015q4_example.zip
: Example dataset 4.
Use system.file("extdata",package = "extractFAERS")
to access the folder contain example zip files.
A character vector containing the path of the processed file "F_COREDATA_1PS_PROF_STU.RData", which can be used for further analysis
# Example_1 Perform FAERS data preprocessing in one step and
# generate `F_COREDATA_1PS_PROF_STU.RData` in a temporary folder.
# In practice, it is recommended to set `usetempdir = FALSE` and specify `workingdir`
# to prevent the processed results in the temporary folder from being automatically deleted.
extract_FAERS_data(
workingdir = system.file("extdata", package = "extractFAERS"),
usetempdir = TRUE,
corenum = 2,
startfile = 1,
endfile = 4,
onlydoextract = FALSE,
occpextract = NULL
)
# Example_2 Stepwise FAERS data preprocessing
# Setting `onlydoextract = TRUE` extracts only single-drug cases and organizes file paths.
# The processed file paths are saved in a temporary directory.
extractfaerspath <- extract_FAERS_data(
workingdir = system.file("extdata", package = "extractFAERS"),
usetempdir = TRUE,
corenum = 2,
startfile = 1,
endfile = 4,
onlydoextract = TRUE,
occpextract = NULL
)
print(extractfaerspath)
# Filter data based on reporter occupation
# By default, only reports from healthcare professionals
# (e.g., physicians, pharmacists) are retained.
faers1psprofdata <- filter_by_occp_FAERS(
workingdir = extractfaerspath,
occpextract = NULL,
savetoRData = TRUE
)
# Standardize time units to days
# This ensures consistency in the dataset and facilitates analysis of adverse reactions
# based on patient age.
time_to_day_FAERS(
workingdir = extractfaerspath,
usexistRData = TRUE,
filteres = NULL
)
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