R GRMetric: How to personalize the plot design (themes, colors, legends, etc.)
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I am relatively new to R and interested in Plotting Dose-Response curves. I have discovered GRMetrics which I found is very useful.
Example (as given in the documentary) will produce a scatter blot and plots the approximated function above them - perfect but how to persolanize the plot design with respect to the color of the points and curves, axis labels, thickness, etc.
In the documentaiton I found it is compatible with ggplot2 but I didn't found any example and didn't manage to integrate the output of GRMetric in a ggplot environment to edit the graph.
I appreciate any suggestion how to solve this issue.
The installation and code for GRMetrics:
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("GRmetrics")
install.packages("foreign")
browseVignettes("GRmetrics") #link to documentation
library(GRmetrics)
data(inputCaseA)
head(inputCaseA)
drc_output = GRfit(inputCaseA, groupingVariables =c('cell_line','agent'))
GRdrawDRC(drc_output)
r ggplot2
asked Nov 9 at 15:56
Adrian Press
61
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up vote
1
down vote
favorite
I am relatively new to R and interested in Plotting Dose-Response curves. I have discovered GRMetrics which I found is very useful.
Example (as given in the documentary) will produce a scatter blot and plots the approximated function above them - perfect but how to persolanize the plot design with respect to the color of the points and curves, axis labels, thickness, etc.
In the documentaiton I found it is compatible with ggplot2 but I didn't found any example and didn't manage to integrate the output of GRMetric in a ggplot environment to edit the graph.
I appreciate any suggestion how to solve this issue.
The installation and code for GRMetrics:
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("GRmetrics")
install.packages("foreign")
browseVignettes("GRmetrics") #link to documentation
library(GRmetrics)
data(inputCaseA)
head(inputCaseA)
drc_output = GRfit(inputCaseA, groupingVariables =c('cell_line','agent'))
GRdrawDRC(drc_output)
r ggplot2
asked Nov 9 at 15:56
Adrian Press
61
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I am relatively new to R and interested in Plotting Dose-Response curves. I have discovered GRMetrics which I found is very useful.
Example (as given in the documentary) will produce a scatter blot and plots the approximated function above them - perfect but how to persolanize the plot design with respect to the color of the points and curves, axis labels, thickness, etc.
In the documentaiton I found it is compatible with ggplot2 but I didn't found any example and didn't manage to integrate the output of GRMetric in a ggplot environment to edit the graph.
I appreciate any suggestion how to solve this issue.
The installation and code for GRMetrics:
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("GRmetrics")
install.packages("foreign")
browseVignettes("GRmetrics") #link to documentation
library(GRmetrics)
data(inputCaseA)
head(inputCaseA)
drc_output = GRfit(inputCaseA, groupingVariables =c('cell_line','agent'))
GRdrawDRC(drc_output)
r ggplot2
asked Nov 9 at 15:56
Adrian Press
61
I am relatively new to R and interested in Plotting Dose-Response curves. I have discovered GRMetrics which I found is very useful.
Example (as given in the documentary) will produce a scatter blot and plots the approximated function above them - perfect but how to persolanize the plot design with respect to the color of the points and curves, axis labels, thickness, etc.
In the documentaiton I found it is compatible with ggplot2 but I didn't found any example and didn't manage to integrate the output of GRMetric in a ggplot environment to edit the graph.
I appreciate any suggestion how to solve this issue.
The installation and code for GRMetrics:
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("GRmetrics")
install.packages("foreign")
browseVignettes("GRmetrics") #link to documentation
library(GRmetrics)
data(inputCaseA)
head(inputCaseA)
drc_output = GRfit(inputCaseA, groupingVariables =c('cell_line','agent'))
GRdrawDRC(drc_output)
r ggplot2
r ggplot2
asked Nov 9 at 15:56
Adrian Press
61
asked Nov 9 at 15:56
Adrian Press
61
asked Nov 9 at 15:56
Adrian Press
61
asked Nov 9 at 15:56
Adrian Press
61
asked Nov 9 at 15:56
Adrian Press
61
61
add a comment |
add a comment |
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