fixedGroupBatch: Linear model with group and batch effects
In MSstatsPTM: Statistical Characterization of Post-translational Modifications
Description
Usage
Arguments
Value
Examples
Description
fixedGroupBatch fits and returns a linear model with log2inty
as response, and group and batch as fixed effects.
Usage
1
Arguments
df
A data frame with columns log2inty, group, and
batch for one PTM site.
Value
An lm model object.
Examples
1
2
3
4
5
6
x <- data.frame(
batch=rep(c("1", "2"), each=4),
group=rep(c("1", "2"), 4),
log2inty=rep(c(10, 12), 4) + rnorm(8)
)
fixedGroupBatch(x)
MSstatsPTM documentation built on Nov. 8, 2020, 5:49 p.m.
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Description Usage Arguments Value Examples
Description
fixedGroupBatch fits and returns a linear model with log2inty
as response, and group and batch as fixed effects.
Usage
1 |
Arguments
df |
A data frame with columns |
Value
An lm model object.
Examples
1 2 3 4 5 6 | x <- data.frame(
batch=rep(c("1", "2"), each=4),
group=rep(c("1", "2"), 4),
log2inty=rep(c(10, 12), 4) + rnorm(8)
)
fixedGroupBatch(x)
|
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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