Create an event table object
Initializes an object of class ‘EventTable’ with methods for adding and querying dosing and observation records
eventTable(amount.units = NA, time.units = NA)
amount.units |
string denoting the amount dosing units, e.g.,
“mg”, “ug”. Default to |
time.units |
string denoting the time units, e.g.,
“hours”, “days”. Default to An Currently, events can be of two types: dosing events that represent inputs to the system and sampling time events that represent observations of the system with ‘amount.units’ and ‘time.units’, respectively. |
A modified data.frame with the following accessible functions:
get.EventTable() returns the current event table
add.dosing() adds dosing records to the event table.
get.dosing() returns a data.frame of dosing records.
clear.dosing() clears or deletes all dosing from event table
'add.sampling() adds sampling time observation records to the
event table.
get.sampling()returns a data.frame of sampled observation records.
clear.sampling() removes all sampling from event table.
get.obs.rec() returns a logical vector indicating whether each
event record represents an observation or not.
get.nobs() returns the number of observation (not dosing) records.
get.units() returns a two-element character vector with the
dosing and time units, respectively
copy() makes a copy of the current event table. To create
a copy of an event table object use qd2 <- qd$copy()
expand() Expands the event table for multi-subject solving.
This is done by qd$expand(400) for a 400 subject data expansion
Matthew Fidler, Melissa Hallow and Wenping Wang
# create dosing and observation (sampling) events
# QD 50mg dosing, 5 days followed by 25mg 5 days
#
qd <- eventTable(amount.units = "mg", time.units = "days")
#
qd$add.dosing(dose=50, nbr.doses=5, dosing.interval = 1, do.sampling=FALSE)
#
# sample the system's drug amounts hourly the first day, then every 12 hours
# for the next 4 days
qd$add.sampling(seq(from = 0, to = 1, by = 1/24))
qd$add.sampling(seq(from = 1, to = 5, by = 12/24))
#
#print(qd$get.dosing()) # table of dosing records
print(qd$get.nobs()) # number of observation (not dosing) records
#
# BID dosing, 5 days
bid <- eventTable("mg", "days") # only dosing
bid$add.dosing(dose=10000, nbr.doses=2*5,
dosing.interval = 12, do.sampling=FALSE)
#
# Use the copy() method to create a copy (clone) of an existing
# event table (simple assignments just create a new reference to
# the same event table object (closure)).
#
bid.ext <- bid$copy() # three-day extension for a 2nd cohort
bid.ext$add.dosing(dose = 5000, nbr.doses = 2*3,
start.time = 120, dosing.interval = 12, do.sampling = FALSE)
# You can also use the Piping operator to create a table
qd2 <- eventTable(amount.units="mg", time.units="days") %>%
add.dosing(dose=50, nbr.doses=5, dosing.interval=1, do.sampling=FALSE) %>%
add.sampling(seq(from=0, to=1, by=1 / 24)) %>%
add.sampling(seq(from=1, to=5, by=12 / 24))
#print(qd2$get.dosing()) # table of dosing records
print(qd2$get.nobs()) # number of observation (not dosing) records
# Note that piping with %>% will update the original table.
qd3 <- qd2 %>% add.sampling(seq(from=5, to=10, by=6 / 24))
print(qd2$get.nobs())
print(qd3$get.nobs())Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.