fCCAC-internal: fCCAC internal functions
In pmb59/fCCAC: functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets
fCCAC R Documentation
fCCAC internal functions
Description
Internal undocumentation functions
Examples
library(ggplot2)
# This example uses the ChickWeight dataset, which comes with ggplot2
# http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_%28ggplot2%29/
p1 <- ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet, group=Chick)) + geom_line() + ggtitle("Growth curve for individual chicks")
multiplot(p1, p1, cols=1)
pmb59/fCCAC documentation built on May 31, 2022, 4:38 a.m.
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| fCCAC | R Documentation |
fCCAC internal functions
Description
Internal undocumentation functions
Examples
library(ggplot2)
# This example uses the ChickWeight dataset, which comes with ggplot2
# http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_%28ggplot2%29/
p1 <- ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet, group=Chick)) + geom_line() + ggtitle("Growth curve for individual chicks")
multiplot(p1, p1, cols=1)
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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