What's all the fuss about R.

I've spent the last 2 weeks reading many R tutorials to find which version the simplest.

Finally I chose one and started to type the instructions.

x<-c p="">y<-c p="">plot(x,y)

x is my birth date and y is my wife's.

Press enter then voila

{@dasaptaerwin}

I've spent the last 2 weeks reading many R tutorials to find which version the simplest.

Finally I chose one and started to type the instructions.

x<-c p="">y<-c p="">plot(x,y)

x is my birth date and y is my wife's.

Press enter then voila

More complicated one:

#PLOTTING GW TDS VS RIVER TDS#this practice was based on Ciliwung dataset#so you can change all the ciliwung file data with your own data#loading data and named clwtdsclwtds <- clwtds.csv="" font="" header="T,sep=" read.table="">attach(clwtds)#view the dataclwtds#Scatter plot gwtds vs rivtdsplot(gwtds,rivtds,xlab="Groundwater TDS (ppm)",ylab="Ciliwung Water TDS (ppm)", pch=16)#Scatter plot gwtds vs rivtds (based on gw and river water relation)> plot(gwtds, rivtds, xlab="Groundwater TDS (ppm)", ylab="Ciliwung Water TDS (ppm)", pch=19, col=c(relation))#Histogram chart#Histogram gwtds and rivtds in the file clwtdshist(clwtds$gwtds, xlab="Groundwater TDS (ppm)")hist(clwtds$rivtds, xlab="River TDS (ppm)")#this is the result#TDS Profile with line chartplot(clwtds$gwtds, type="b", pch=16, xlab="Location", ylab="TDS (ppm)", ylim=c(0,1000))points(clwtds$rivtds, type="b", pch=16, col="grey", lwd=2)#this is how the chart will look like

{@dasaptaerwin}

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