[R] about multi-optimal points

[lily li]

Hi Ulrik,

Thanks for your suggestion, but it was not what I meant. I tried to use the
rPref package but just got a very small sample and felt clueless.

On Sat, Aug 26, 2017 at 12:37 AM, Ulrik Stervbo <ulrik.stervbo at gmail.com>
wrote:

> HI lily,
>
> for the colouring of individual points you can set the colour aesthetic.
> The ID is numeric so ggplot applies a colour scale. If we cast ID to a
> factor we get the appropriate colouring.
>
> test_df <- data.frame(ID = 1:20, v1 = rnorm(20), v2 = rnorm(20), v3 =
> rnorm(20))
>
> ggplot(data=test_df, aes(x=v1,y=v2, colour = as.factor(ID))) +
> geom_point()+ theme_bw()+
>   xlab('Variable 1')+ ylab('Variable 2')
>
> How to choose a number of samples from the dataset you can use the subset
> function to select by some variable:
> sub_test_df1 <- subset(test_df, ID < 5)
>
> ggplot(data=sub_test_df1, aes(x=v1,y=v2, colour = as.factor(ID))) +
> geom_point()+ theme_bw()+
>   xlab('Variable 1')+ ylab('Variable 2')
>
> Or sample a number of random rows using samle() if this is your intention.
> sub_test_df2 <- test_df[sample(x = 1:nrow(test_df), size = 10), ]
>
> ggplot(data=sub_test_df2, aes(x=v1,y=v2, colour = as.factor(ID))) +
> geom_point()+ theme_bw()+
>   xlab('Variable 1')+ ylab('Variable 2')
>
> HTH
> Ulrik
>
> On Fri, 25 Aug 2017 at 21:38 lily li <chocold12 at gmail.com> wrote:
>
>> Hi R users,
>>
>> I have some sets of variables and put them into one dataframe, like in the
>> following. How to choose a specific set of pareto front, such as 10 from
>> the current datasets (which contains more than 100 sets)? And how to show
>> the 10 points on one figure with different colors? I can put all the
>> points
>> on one figure though, and have the code below. I drew two ggplots to show
>> their correlations, but I want v1 and v3 to be as close as 1, v2 to be as
>> close as 0. Thanks very much.
>>
>> DF
>>
>> ID    v1     v2     v3
>> 1    0.8     0.1    0.7
>> 2    0.85   0.3    0.6
>> 3    0.9     0.21  0.7
>> 4    0.95   0.22  0.8
>> 5    0.9     0.3    0.7
>> 6    0.8     0.4    0.76
>> 7    0.9     0.3    0.77
>> ...
>>
>> fig1 = ggplot(data=DF, aes(x=v1,y=v2))+ geom_point()+ theme_bw()+
>> xlab('Variable 1')+ ylab('Variable 2')
>> print(fig1)
>>
>> fig2 = ggplot(data=DF, aes(x=v1,y=v3)+ geom_point()+ theme_bw()+
>> xlab('Variable 1')+ ylab('Variable 3')
>> print(fig2)
>>
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>>
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>

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