calculate_p_values: Calculate CES p values
In gronert-m/sciCoverageR: Set of SCIF coverage survey functions
Description
Usage
Arguments
Value
View source: R/calculate_p_values.R
Description
A function to calculate the p values of differences between sexes and attend/non-attend SAC.
Usage
1
calculate_p_values(drug_name, group, partition, data)
Arguments
drug_name
The three letter code for the drug (e.g., pzq, alb, ...). In quotes.
group
The code for the group of interest (e.g., "1_SAC", "2_Adults"). In quotes.
partition
The variable to determine by what category the data will be split by. In quotes.
data
The data from the survey. A dataframe, not in quotes.
Value
A data frame containing the p values for the different differences for the chosen drug and group.
gronert-m/sciCoverageR documentation built on Nov. 23, 2020, 10:33 p.m.
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Description Usage Arguments Value
View source: R/calculate_p_values.R
Description
A function to calculate the p values of differences between sexes and attend/non-attend SAC.
Usage
1 | calculate_p_values(drug_name, group, partition, data)
|
Arguments
drug_name |
The three letter code for the drug (e.g., pzq, alb, ...). In quotes. |
group |
The code for the group of interest (e.g., "1_SAC", "2_Adults"). In quotes. |
partition |
The variable to determine by what category the data will be split by. In quotes. |
data |
The data from the survey. A dataframe, not in quotes. |
Value
A data frame containing the p values for the different differences for the chosen drug and group.
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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