runPrincipleCoordinateAnalysis: Run principal coordinate analysis on mapping data and...
In blue-moon22/resistomeAnalysis: Resistome Analysis
Description
Usage
Arguments
Value
Examples
Description
Run principal coordinate analysis on mapping data and metadata
Usage
1
runPrincipleCoordinateAnalysis(df_map)
Arguments
df_map
A dataframe of combined non-subsampled or subsampled mapping data and metadata
Value
A dataframe of multidimensional scaled coordinates
Examples
1
2
df_map <- readMappingData("/home/vicky/Documents/CHMI/Resistome-paper/resistomeAnalysis/db/MAPPING_DATA/nonsubsampled_merged.csv", without_US_duplicates = TRUE)
mds <- runPrincipleCoordinateAnalysis(df_map)
blue-moon22/resistomeAnalysis documentation built on Jan. 17, 2020, 4:15 a.m.
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Description Usage Arguments Value Examples
Description
Run principal coordinate analysis on mapping data and metadata
Usage
1 | runPrincipleCoordinateAnalysis(df_map)
|
Arguments
df_map |
A dataframe of combined non-subsampled or subsampled mapping data and metadata |
Value
A dataframe of multidimensional scaled coordinates
Examples
1 2 | df_map <- readMappingData("/home/vicky/Documents/CHMI/Resistome-paper/resistomeAnalysis/db/MAPPING_DATA/nonsubsampled_merged.csv", without_US_duplicates = TRUE)
mds <- runPrincipleCoordinateAnalysis(df_map)
|
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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