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) [[alternative HTML version deleted]]

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) > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]

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) >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/ >> posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> >[[alternative HTML version deleted]]