R programming at work: Simulate equations

This video demonstrates how R programming can be used to simulate mathematical equations and study the effect of various terms and parameters on the behavior of equations.

This video has used a shiny app for the explanation of the concept.
0:00 Introduction
0:23 equation simulated
0:56 significance of graphs
1:10 coding the equation
2:04 plotting the output
2:40 effect of changing parameters- km
6:20 Effect fo changing parameters-vmax

#Rprogramming
#datavisulisation
#simualtions
#mathematicalmodeling
#enzymekinetics
#michelismenten

#code
library(ggplot2)
library(plotly)

bp= ggplot(iris,aes(Species,Sepal.Length, fill=Species))+
geom_boxplot()+
ggtitle("Boxplot")
bp


sp= ggplot(iris,aes(Sepal.Length,Petal.Length, color=Species))+
geom_point()+
ggtitle("Scatter plot")
sp

dp = ggplot(iris,aes(Sepal.Length, fill=Species))+
geom_density(color="black",alpha=0.5)+
ggtitle("Density plot")
dp


ggplotly(bp)