fitLinearModel: Fit linear model
In tsunghengtsai/MSstatsPTM: Statistical Characterization of Post-translational Modifications
Description
Usage
Arguments
Value
Examples
Description
fitLinearModel fits and returns a linear model with log2inty
as response, and group and possibly batch as fixed effects.
Usage
1
fitLinearModel(df, fctBatch = FALSE)
Arguments
df
A data frame with columns log2inty, group, and
batch for one PTM site.
fctBatch
A logical. TRUE considers batch effect, FALSE
otherwise. Default is FALSE.
Value
An lm model object.
Examples
1
2
3
4
5
6
7
8
9
10
11
12
x1 <- data.frame(
batch=rep(c("1", "2"), each=4),
group=rep(c("1", "2"), 4),
log2inty=rep(c(10, 12), 4) + rnorm(8)
)
fitLinearModel(x1, fctBatch=TRUE)
x2 <- data.frame(
group=rep(c("1", "2"), 3),
log2inty=rep(c(10, 12), 3) + rnorm(6)
)
fitLinearModel(x2)
tsunghengtsai/MSstatsPTM documentation built on Oct. 4, 2020, 5:51 p.m.
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Description Usage Arguments Value Examples
Description
fitLinearModel fits and returns a linear model with log2inty
as response, and group and possibly batch as fixed effects.
Usage
1 | fitLinearModel(df, fctBatch = FALSE)
|
Arguments
df |
A data frame with columns |
fctBatch |
A logical. |
Value
An lm model object.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | x1 <- data.frame(
batch=rep(c("1", "2"), each=4),
group=rep(c("1", "2"), 4),
log2inty=rep(c(10, 12), 4) + rnorm(8)
)
fitLinearModel(x1, fctBatch=TRUE)
x2 <- data.frame(
group=rep(c("1", "2"), 3),
log2inty=rep(c(10, 12), 3) + rnorm(6)
)
fitLinearModel(x2)
|
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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