[R] Statistical analysis

[Arun.stat]

Rainfall data is widely accepted as Random walk process and hence it is
non-stationary. Therefore if correlation or regression coef. is measured on
raw data then you may land in the world of spurious measures. I would
suggest you to check whether unit root is there in your data or not first.
If it is there then estimate corr or any other statistical measure on
differenced data.

Best,



cls59 wrote:
> 
> 
> 
> Chris Li wrote:
>> 
>> Hi all,
>> 
>> I have got two datasets, one of them is rainfall data and the other one
>> is groundwater level data.
>> 
>> I would like to see whether there is a correlation between these two
>> datasets and if there is, to what extent they are correlated.
>> 
>> My stats background is limited, therefore any advice on which command I
>> should use in R would be greatly appreciated.
>> 
>> Thanks in advance.
>> Chris
>> 
> 
> 
> Supposing you have two variables-- precipitation, p, and groundwater
> potential, h-- a simple test for linear correlation is to produce a
> scatterplot of h vs. p:
> 
> plot( h ~ p )
> 
> If it looks linear, than it may be worthwhile to have R estimate the
> coefficient of correlation for the data:
> 
> cor( p, h )
> 
> If the correlation coefficient is close to +/- 1, than your data is
> exhibiting a strong linear trend and a linear model may be appropriate:
> 
> linModel <- lm( h ~ p )
> 
> abline( linModel )
> 
> 
> Good luck!
> 
> -Charlie
> 
> 

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