pkstudy.LB | R Documentation |
This data.frame
contains data on laboratory tests from an imaginary PK study.
data(pkstudy.LB)
A data frame with 1038 observations on the following 11 variables.
studyid
a factor with levels XXX-YYY-ZZZ
domain
a factor with levels LB
subjid
a factor with levels 001-001
001-002
001-003
001-004
001-005
001-006
002-001
002-002
002-003
002-004
002-005
002-006
lborres
a logical vector
lborresu
a factor with levels %
/HPF
/LPF
g/dL
mEq/L
mg/dL
U/L
x10^3/uL
x10^6/uL
lbstresc
a numeric vector. The result in standard units.
lbstresn
a numeric vector. The result in standard units.
lbstresu
a factor with levels %
/HPF
/LPF
g/L
GI/L
mmol/L
TI/L
U/L
umol/L
lbtest
a factor with levels Albumin
Alkaline Phosphatase
ALT (SGPT)
AST (SGOT)
Atypical Lymphocytes
Basophils
Basophils (%)
Calcium (EDTA)
Creatinine
Eosinophils
Eosinophils (%)
GGT
Hematocrit
Hemoglobin
LDH
Lymphocytes
Lymphocytes (%)
Magnesium
Monocytes
Monocytes (%)
Neutrophils
Neutrophils (%)
Phosphorus
Platelets
RBC
Serum Bicarbonate
Serum Chloride
Serum Glucose
Serum Potassium
Serum Sodium
Serum Uric Acid
Total Abs. Neutrophil Count
Total Bilirubin
Total Protein
Ur Blood
Ur Glucose
Ur Hyaline Casts/LPF
Ur pH
Ur Protein
Ur RBC/HPF
Ur Specific Gravity
Ur Squamous Epithelial Cells
Ur WBC/HPF
Urea Nitrogen
WBC
visit
a factor with levels PERIOD I
PERIOD II
lbdtc
a factor. The date/time of collection in yyyy-mm-ddTHH:MM
format.
This data is part of a toy database from an imaginary PK study. The
data is meant to resemble a standard CDISC format. Briefly,
pkstudy.DM
contains demographic data, pkstudy.PC
contains pharmacokinetic concentrations, pkstudy.EX
contains
exposure data, pkstudy.VS
contains vitals signs,
pkstudy.LB
contains laboratory tests, and pkstudy.CM
contains data on concomitant medications. All the data are linked by
a subjid
field, the ID that identifies the individual subjects
in the study.
pkstudy.DM pkstudy.PC pkstudy.EX pkstudy.VS pkstudy.CM
data(pkstudy.LB)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.