plot.prediction: Plot predicted coverage VS experimental
In EmmaDann/hexamerModel: Tools for modelling random hexamer primer binding
Description
Usage
Arguments
Value
View source: R/binding_model_functions.r
Description
Make scatterplot of predicted and experimental template coverage fraction
Usage
1
plot.prediction(pred.cov.df, color = "nuc")
Arguments
pred.cov.df
dataframe of primer-template features with column for predicted coverage
color
feature to pass to color aesthetic: "nuc" (default) colors by prevalent nucleotide in template sequence, "CG" colors by present or absence of CG dinucleotide in template sequence
Value
scatterplot
EmmaDann/hexamerModel documentation built on May 5, 2019, 4:48 p.m.
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Description Usage Arguments Value
View source: R/binding_model_functions.r
Description
Make scatterplot of predicted and experimental template coverage fraction
Usage
1 | plot.prediction(pred.cov.df, color = "nuc")
|
Arguments
pred.cov.df |
dataframe of primer-template features with column for predicted coverage |
color |
feature to pass to color aesthetic: "nuc" (default) colors by prevalent nucleotide in template sequence, "CG" colors by present or absence of CG dinucleotide in template sequence |
Value
scatterplot
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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