filter_and_fit: Filter_and_fit
In UNIL-PAF/pumbaR: Parse MaxQuant data and compute theoretical molecular weights for every slice.
View source: R/mass-fit-curve.R
filter_and_fit R Documentation
Filter_and_fit
Description
Filter the data and apply a fit on it.
Usage
filter_and_fit(pg, low_density_threshold = 10)
Arguments
pg
ProteinGroups data.frame.
low_density_threshold
Remove entries from regions with few data points (default is 10).
Examples
proteinGroups_path <- system.file("extdata", "Conde_9508_sub.txt", package = "pumbaR")
pg <- load_MQ(proteinGroups_path)
mass_fit <- filter_and_fit(pg, low_density_threshold = 2)
UNIL-PAF/pumbaR documentation built on June 9, 2022, 6:31 p.m.
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View source: R/mass-fit-curve.R
| filter_and_fit | R Documentation |
Filter_and_fit
Description
Filter the data and apply a fit on it.
Usage
filter_and_fit(pg, low_density_threshold = 10)
Arguments
pg |
ProteinGroups data.frame. |
low_density_threshold |
Remove entries from regions with few data points (default is 10). |
Examples
proteinGroups_path <- system.file("extdata", "Conde_9508_sub.txt", package = "pumbaR")
pg <- load_MQ(proteinGroups_path)
mass_fit <- filter_and_fit(pg, low_density_threshold = 2)
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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