Interannual variation of OND rainfall
Data: download
#Read data
b.data <- read.table(“timeseries.csv”, header=T,fill=T)
# Scatterplot Matrices from the glus Package
attach(mtcars)
#library(gclus)
library(scatterplot3d)
attach(b.data)
# TIMESERIES1
plot(Rainfall~Year, cex = 1, col = “blue”, type=”o”, pch=19, ylab=”Rainfall in mm”, main = “Oct-Dec rainfall variation from 1960 to 2000”)
Data:download
R Script
par(mar=c(5,6,4,3)+0.1) # set marigin
b.data <- read.table(“3dscatterogram.csv”, header=T,fill=T) # read input data
attach(b.data)
plot(Rainfall, SOI_O, main=”Scatterplot Rainfall Vs SOI_O (1960-2000)”, xlab=”Rainfall in mm”, ylab=”SOI”, pch=19) # plot function
# Fit planes
abline(lm(Rainfall~SOI_O), col=”red”) # regression line (y~x)
lines(lowess(Rainfall,SOI_O), col=”blue”) # lowess line (x,y)
Data: download
#Read input data
b.data <- read.table(“3dscatterogram.csv”, header=T,fill=T)
# call scatterplot3d package
library(scatterplot3d)
attach(b.data)
# simple 3d scatterplot
scatterplot3d(SOI_O,Rainfall,SLP_O, main=”3D Scatterplot”)
# 3d scatterplot with Fit planes
s3d <-scatterplot3d(SOI_O,SLP_O,Rainfall, pch=16, highlight.3d=TRUE, type=”h”, main=”3D Scatterplot”)
fit <- lm(Rainfall ~ SOI_O+SLP_O)
s3d$plane3d(fit)
QQ PLOTS & Regression line
Data: download
#Set margin
par(mar=c(5,6,4,2)+0.1)
b.data <- read.table(“qqplot.csv”, header=T,fill=T)
library(car)
fit <- lm(Cuddalore~Nagapattinam, data=b.data)
qqPlot(fit, main=”QQ Plot – Cuddalore Vs Nagapattinam”)
