computeRankQuantiles: computeRankQuantiles
In Covid19Wastewater: Prepare, Analyze, and Visualize Covid-19 Wastewater Data
View source: R/library--data_prep--filter_tools--outlier_tools.R
computeRankQuantiles R Documentation
computeRankQuantiles
Description
Convert jumps from last step into a ordering quintile
Usage
computeRankQuantiles(df)
Arguments
df
dataframe. needs Column n1.jumpFromLeft, n1.jumpFromRight,
n2.jumpFromLeft, n2.jumpFromRight, site
First 4 gen from computeJumps
Value
dataframe with 4 columns appended: ranks of each of the 4 jumps;
Examples
data(Example_data, package = "Covid19Wastewater")
Example_data$site = "Madison"
df_data <- computeJumps(Example_data)
ranked_data <- rankJumps(df_data)
computeRankQuantiles(ranked_data)
Covid19Wastewater documentation built on Aug. 25, 2023, 1:07 a.m.
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View source: R/library--data_prep--filter_tools--outlier_tools.R
| computeRankQuantiles | R Documentation |
computeRankQuantiles
Description
Convert jumps from last step into a ordering quintile
Usage
computeRankQuantiles(df)
Arguments
df |
dataframe. needs Column n1.jumpFromLeft, n1.jumpFromRight, n2.jumpFromLeft, n2.jumpFromRight, site First 4 gen from computeJumps |
Value
dataframe with 4 columns appended: ranks of each of the 4 jumps;
Examples
data(Example_data, package = "Covid19Wastewater")
Example_data$site = "Madison"
df_data <- computeJumps(Example_data)
ranked_data <- rankJumps(df_data)
computeRankQuantiles(ranked_data)
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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