sees_pop_data_pk_100_old_names: Small example cross-sectional data set
In serocalculator: Estimating Infection Rates from Serological Data
sees_pop_data_pk_100_old_names R Documentation
Small example cross-sectional data set
Description
A subset of data from the SEES data, for examples and testing.
Usage
sees_pop_data_pk_100_old_names
Format
sees_pop_data_pk_100_old_names
A pop_data object (from as_pop_data()) with 200 rows and 8 columns:
- index_id
Observation ID
- Country
Country where the participant was living
- cluster
survey sampling cluster
- catchment
survey catchment area
- Age
participant's age when sampled, in years
- antigen_iso
which antigen and isotype are being measured
(data is in long format)
- result
concentration of antigen isotype, in ELISA units
Source
serocalculator documentation built on April 3, 2025, 7:35 p.m.
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| sees_pop_data_pk_100_old_names | R Documentation |
Small example cross-sectional data set
Description
A subset of data from the SEES data, for examples and testing.
Usage
sees_pop_data_pk_100_old_names
Format
sees_pop_data_pk_100_old_names
A pop_data object (from as_pop_data()) with 200 rows and 8 columns:
- index_id
Observation ID
- Country
Country where the participant was living
- cluster
survey sampling cluster
- catchment
survey catchment area
- Age
participant's age when sampled, in years
- antigen_iso
which antigen and isotype are being measured (data is in long format)
- result
concentration of antigen isotype, in ELISA units
Source
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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