df_demo_metabolic_data: Simulated Metabolic Data
In NightingaleHealth/ggforestplot: Forestplots of Measures of Effects and Their Confidence Intervals
Description
Usage
Format
Source
See Also
Description
A simulated, demo data frame that contains metabolic profiles, basic
information and diabetes outcomes for 1887 fictional individuals. The data frame
contains values for 250 serum biomarkers quantified by the NMR platform of
Nightingale Health Ltd.
Usage
1
Format
A data frame (tibble) with 1887 rows and 256 columns. id is a
character variable with the ID number of fictional individual; gender
is a character variable with the gender information on each individual;
baseline_age is a numeric variable with the age at the time of
blood draw; BMI is a numeric variable with the BMI of each individual
at the time of blood draw; incident_diabetes is a numeric variable
with values 1 or 0 for whether the diabetes event occured or not during the
observed time, respectively; age_at_diabetes is a numeric variable
with the age at the end of the study and the rest of the variables are numeric
containing the machine readable names of Nightingale NMR blood biomarkers.
Source
Simulated NMR data; Nightingale Health Ltd, https://nightingalehealth.com/.
See Also
NightingaleHealth/ggforestplot documentation built on April 10, 2020, 7:01 p.m.
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Description Usage Format Source See Also
Description
A simulated, demo data frame that contains metabolic profiles, basic information and diabetes outcomes for 1887 fictional individuals. The data frame contains values for 250 serum biomarkers quantified by the NMR platform of Nightingale Health Ltd.
Usage
1 |
Format
A data frame (tibble) with 1887 rows and 256 columns. id is a
character variable with the ID number of fictional individual; gender
is a character variable with the gender information on each individual;
baseline_age is a numeric variable with the age at the time of
blood draw; BMI is a numeric variable with the BMI of each individual
at the time of blood draw; incident_diabetes is a numeric variable
with values 1 or 0 for whether the diabetes event occured or not during the
observed time, respectively; age_at_diabetes is a numeric variable
with the age at the end of the study and the rest of the variables are numeric
containing the machine readable names of Nightingale NMR blood biomarkers.
Source
Simulated NMR data; Nightingale Health Ltd, https://nightingalehealth.com/.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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