Displaying 3 results from an estimated 3 matches for "sub_test_df2".
Did you mean:
sub_test_df1
2017 Aug 26
0
about multi-optimal points
...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:
>...
2017 Aug 25
2
about multi-optimal points
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
2017 Aug 26
1
about multi-optimal points
...t_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...