# [R] How to make our data normally distributed in R

Neha gupta neh@@bo|ogn@90 @end|ng |rom gm@||@com
Fri Mar 13 16:06:57 CET 2020

```Thanks a lot Jin..

If my total number of observations are 500,
n will be 500,
mu will be average (500)
s will be sd (500)
and m will be RMSE value i.e. 4500 in this case?

tovecv(n=500, mu=average (500), s=sd, m=4500, measure="rmse")

On Fri, Mar 13, 2020 at 12:46 AM Jin Li <jinli68 using gmail.com> wrote:

> Hi,
> Why do you want to re-scale RMSE to 0-1? You can change ylim=(0,1) to
> ylim=(0, 4600). You may use VEcv (Variance explained by predictive models
> based on cross-validation) that ranges from  0 to 100% instead. It can be
> calculated using vecv function in library(spm) or you can convert RMSE to
> VEcv using tovecv in spm.
> Hope this helps,
> Jin
>
> On Fri, Mar 13, 2020 at 8:08 AM Neha gupta <neha.bologna90 using gmail.com>
> wrote:
>
>> Hi
>>
>> I have a regression based data where I get the RMSE results as:
>>
>> SVM=3500
>> ANN=4600
>> R.Forest=2900
>>
>> I want to know how can I make it so that its values comes as 0-1
>>
>> I plot the boxplot for it to indicate their RMSE values and used,
>> ylim=(0,1), but the boxplot which works for RMSE values like 3500 etc, but
>> when I use ylim=(0,1), all the boxplots suddenly disappears. What should I
>> do for it?
>>
>> Thanks
>>
>>         [[alternative HTML version deleted]]
>>
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
> --
> Jin
>

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