imputeMissingData: Imputates Missing Time-Points in Data
In nesscoder/TimeCycle: TimeCycle: Topology Inspired MEthod for the Detection of Cycling Transcripts
Description
Usage
Arguments
Value
See Also
Examples
View source: R/imputeMissingData.R
Description
Imputes numeric values for time-points with an NA by computing the linear path between missing points
Usage
1
Arguments
data
a data.frame of numeric gene expression over time (row = genes x col = ZT times) with missing values.
Value
a imputed data.frame of numeric gene expression over time (row = genes x col = ZT times).
See Also
na_interpolation for imputation procedure.
Examples
1
2
3
4
a <- c(10, 12, 14, NA, 18)
b <- c(1, 2, NA, NA, 5)
data <- t(data.frame(a, b))
imputeMissingData(data)
nesscoder/TimeCycle documentation built on June 29, 2021, 5:16 a.m.
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Description Usage Arguments Value See Also Examples
View source: R/imputeMissingData.R
Description
Imputes numeric values for time-points with an NA by computing the linear path between missing points
Usage
1 |
Arguments
data |
a |
Value
a imputed data.frame of numeric gene expression over time (row = genes x col = ZT times).
See Also
na_interpolation for imputation procedure.
Examples
1 2 3 4 | a <- c(10, 12, 14, NA, 18)
b <- c(1, 2, NA, NA, 5)
data <- t(data.frame(a, b))
imputeMissingData(data)
|
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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