usz_13c | R Documentation |
13C time series PDR data from normals and random patients from the division of Gastroenterology and Hepatology, University Hospital Zurich. Most breath samples from normals were collected with bags and analyzed by IRIS/Wagner infrared spectroscopy. Patient samples were recorded with the continuous monitoring system BreathID.
Patient identifier, starting with norm
for normals
(healthy volunteers) and pat
for patients. Note that for normals
there are two records for each subject, so only the combination of patient_id
and group is a unique identifier of the time series record.
liquid_normal
for normals and liquid meal,
solid_normal
normals and solid meal, and patient
for patients
from the University Hospital of Zurich.
Time in minutes
PDR as computed by breathtest device or from dob via function dob_to_pdr
data(usz_13c)
A data frame with 15574 rows and 4 variables
data(usz_13c)
## Not run:
str(usz_13c)
# Plot all records; this needs some time
pdf(file.path(tempdir(), "usz_13c.pdf"), height= 30)
# null_fit makes data plotable without fitting a model
plot(null_fit(usz_13c))
dev.off()
## End(Not run)
# Plot a subset
suppressPackageStartupMessages(library(dplyr))
usz_part = usz_13c %>%
filter(patient_id %in% c("norm_001","norm_002", "pat_001", "pat_002"))
plot(null_fit(usz_part))
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