scatterplot_predictions function

scatterplot_predictions

Function to visualize a scatter-plot comparing two variables

scatterplot_predictions(x, p, title, xname = "x", yname = "predicted x")

Arguments

• x: numeric vector
• p: second numeric vector
• title: string vector with the title
• xname: string vector with the name of the variable on the x axis
• yname: string vector with the name of the variable on the y axis

Returns

plotly image with the scatterplot

Examples

library(plotly)
#load the dataset
metabolic_measures <- synthetic_metabolic_dataset
phenotypes <- synthetic_phenotypic_dataset

#Pre-process the metabolic features
prepped_met<-QCprep(as.matrix(metabolic_measures), MiMIR::PARAM_metaboAge)
#Apply the metaboAge
metaboAge<-apply.fit(prepped_met, FIT=PARAM_metaboAge$FIT_COEF)

age<-data.frame(phenotypes$age)
rownames(age)<-rownames(phenotypes)
scatterplot_predictions(age, metaboAge, title="Chronological Age vs MetaboAge")