hidden_fac.dat: A gene expression data affected by a hidden variable.
In svapls: Surrogate variable analysis using partial least squares in a gene expression study.
Description
Usage
Format
Examples
Description
The dataset contains the log transformed expression levels of 500
genes over 20 subjects distributed equally between two varieties 1 and 2. The
data is affected by the unknown effects from a hidden confounder whose effect
changes over the two sample varieties.
Usage
1
data()
Format
A data frame with 500 observations on the following 20 variables.
S1a numeric vector
S2a numeric vector
S3a numeric vector
S4a numeric vector
S5a numeric vector
S6a numeric vector
S7a numeric vector
S8a numeric vector
S9a numeric vector
S10a numeric vector
S11a numeric vector
S12a numeric vector
S13a numeric vector
S14a numeric vector
S15a numeric vector
S16a numeric vector
S17a numeric vector
S18a numeric vector
S19a numeric vector
S20a numeric vector
Examples
1
2
data()
## maybe str(hidden_fac.dat) ; plot(hidden_fac.dat) ...
svapls documentation built on May 2, 2019, 9:34 a.m.
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Description Usage Format Examples
Description
The dataset contains the log transformed expression levels of 500 genes over 20 subjects distributed equally between two varieties 1 and 2. The data is affected by the unknown effects from a hidden confounder whose effect changes over the two sample varieties.
Usage
1 | data()
|
Format
A data frame with 500 observations on the following 20 variables.
S1a numeric vector
S2a numeric vector
S3a numeric vector
S4a numeric vector
S5a numeric vector
S6a numeric vector
S7a numeric vector
S8a numeric vector
S9a numeric vector
S10a numeric vector
S11a numeric vector
S12a numeric vector
S13a numeric vector
S14a numeric vector
S15a numeric vector
S16a numeric vector
S17a numeric vector
S18a numeric vector
S19a numeric vector
S20a numeric vector
Examples
1 2 | data()
## maybe str(hidden_fac.dat) ; plot(hidden_fac.dat) ...
|
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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