mk_figure_ind_obs | R Documentation |
Takes the output of PKNCA and creates ggplot
figures faceted
by subject id highlighting of certain NCA aspects (e.g. points used for half-life)
mk_figure_ind_obs(
nca_res,
OBS_LAB = "Concentration ===CONCUNITS===",
TIME_LAB = "Time ===TIMEUNITS===",
OBS_STRING = "Observation",
BLQ_STRING = "BLQ",
NA_STRING = "Missing",
log_scale = TRUE,
scales = "fixed",
nfrows = 4,
nfcols = 3
)
nca_res |
Output of PKNCA. |
OBS_LAB |
Label of the observation axis with optional ===CONCUNITS=== placeholder for units. |
TIME_LAB |
Label of the time axis with optional ===TIMEUNITS=== placeholder for units. |
OBS_STRING |
Label for observation data. |
BLQ_STRING |
Label for BLQ data. |
NA_STRING |
Label for missing data. |
log_scale |
Boolean variable to control y-scale ( |
scales |
String to determine the scales used when faceting. Can be either |
nfrows |
Number of facet rows per page. |
nfcols |
Number of facet cols per page. |
List containing the element figures
which is a list of figure
pages ("Figure 1"
, "Figure 2"
, etc.). Each of these is
a also a list containing two elements:
gg: A ggplot object for that page.
notes: Placeholder for future notes, but NULL now.
id = "NCA"
id_UD = "UD"
id_DW = "DW"
id_ASM = "ASM"
# We need a state variable to be define
sess_res = NCA_test_mksession(session=list(),
id = id,
id_UD = id_UD,
id_DW = id_DW,
id_ASM = id_ASM,
full_session=FALSE)
state = sess_res$state
# Pulls out the active analysis
current_ana = NCA_fetch_current_ana(state)
# This is the raw PKNCA output
pknca_res = NCA_fetch_ana_pknca(state, current_ana)
# Building the figure
mk_res = mk_figure_ind_obs(nca_res = pknca_res)
mk_res$figures$Figure_1$gg
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