adjust_effect: Normalize the data according to the annova model
In magrichard/facsticor: Treatment and analysis of FACS data during time course experiments
Description
Usage
Arguments
Value
Examples
View source: R/normalize_data.R
Description
This function works on FL1H, FSC and SSC data acquired on 96-well plates
Usage
1
adjust_effect(data, offsets, offset_key)
Arguments
data
The data to be corrected
offsets
The offsets to be used
Value
A normalized data list
Examples
1
2
3
4
5
<c3><a0> finaliser
load("data/data.rda")
final_data = filter_data(data, data$anno$rep != 1)
offsets_plate = model.tables(m_annov)$tables$plate
final_data = adjust_effect(final_data, offsets_plate, "plate")
magrichard/facsticor documentation built on May 17, 2019, 8:16 a.m.
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Description Usage Arguments Value Examples
View source: R/normalize_data.R
Description
This function works on FL1H, FSC and SSC data acquired on 96-well plates
Usage
1 | adjust_effect(data, offsets, offset_key)
|
Arguments
data |
The data to be corrected |
offsets |
The offsets to be used |
Value
A normalized data list
Examples
1 2 3 4 5 | <c3><a0> finaliser
load("data/data.rda")
final_data = filter_data(data, data$anno$rep != 1)
offsets_plate = model.tables(m_annov)$tables$plate
final_data = adjust_effect(final_data, offsets_plate, "plate")
|
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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