How to print multiple plots for each for loop iteration in R?












0















I have the following code,



for (i in 1:length(split_fill_data)) {
new_frame <- split_fill_data[i]
new_frame_2 <- do.call(rbind.data.frame, new_frame)
if(is.element(head(new_frame_2["egress"],1), unlist(mkt_out_60["egress"])))
{
print(head(arrange(new_frame_2,desc(Bytes_Outside))),5)

#print('hello')
plot(new_frame_2$ingress, new_frame_2$Bytes_Outside, main=head(new_frame_2["egress"],1))
#x11()
}
}


The if block is true about 30 times and I want plot() to print a graph of ingress vs. Bytes_Outside for each of those 30 times. So, multiple subplots on a single window (or plot?).



How do I make this happen in RStudio?










share|improve this question




















  • 1





    par(mfrow = c(5, 6))? Or any other way of doing multiple plots...

    – Gregor
    Nov 19 '18 at 21:32











  • @Gregor problem with using par is that you have to know the number of plots (not exactly, but in a sense) beforehand.

    – M-M
    Nov 19 '18 at 21:58











  • stackoverflow.com/questions/10706753/…

    – M-M
    Nov 19 '18 at 22:11











  • @Masoud "The if block is true about 30 times", sounds like OP has a sense of how many plots. Make it mfrow = c(6, 6) for a little cushion. Otherwise use ggplot, save the plots to a list, and then stick them together at the end (which is, I suppose, what your link is suggesting).

    – Gregor
    Nov 19 '18 at 22:12








  • 1





    @Gregor I didn't mean your solution won't help the OP. I was talking about it in a broader sense. Imagine you have a for-loop and if statement. As you change the parameters the ballpark number of plots would change so using par would not be very sufficient. Cheers

    – M-M
    Nov 19 '18 at 22:16


















0















I have the following code,



for (i in 1:length(split_fill_data)) {
new_frame <- split_fill_data[i]
new_frame_2 <- do.call(rbind.data.frame, new_frame)
if(is.element(head(new_frame_2["egress"],1), unlist(mkt_out_60["egress"])))
{
print(head(arrange(new_frame_2,desc(Bytes_Outside))),5)

#print('hello')
plot(new_frame_2$ingress, new_frame_2$Bytes_Outside, main=head(new_frame_2["egress"],1))
#x11()
}
}


The if block is true about 30 times and I want plot() to print a graph of ingress vs. Bytes_Outside for each of those 30 times. So, multiple subplots on a single window (or plot?).



How do I make this happen in RStudio?










share|improve this question




















  • 1





    par(mfrow = c(5, 6))? Or any other way of doing multiple plots...

    – Gregor
    Nov 19 '18 at 21:32











  • @Gregor problem with using par is that you have to know the number of plots (not exactly, but in a sense) beforehand.

    – M-M
    Nov 19 '18 at 21:58











  • stackoverflow.com/questions/10706753/…

    – M-M
    Nov 19 '18 at 22:11











  • @Masoud "The if block is true about 30 times", sounds like OP has a sense of how many plots. Make it mfrow = c(6, 6) for a little cushion. Otherwise use ggplot, save the plots to a list, and then stick them together at the end (which is, I suppose, what your link is suggesting).

    – Gregor
    Nov 19 '18 at 22:12








  • 1





    @Gregor I didn't mean your solution won't help the OP. I was talking about it in a broader sense. Imagine you have a for-loop and if statement. As you change the parameters the ballpark number of plots would change so using par would not be very sufficient. Cheers

    – M-M
    Nov 19 '18 at 22:16
















0












0








0


1






I have the following code,



for (i in 1:length(split_fill_data)) {
new_frame <- split_fill_data[i]
new_frame_2 <- do.call(rbind.data.frame, new_frame)
if(is.element(head(new_frame_2["egress"],1), unlist(mkt_out_60["egress"])))
{
print(head(arrange(new_frame_2,desc(Bytes_Outside))),5)

#print('hello')
plot(new_frame_2$ingress, new_frame_2$Bytes_Outside, main=head(new_frame_2["egress"],1))
#x11()
}
}


The if block is true about 30 times and I want plot() to print a graph of ingress vs. Bytes_Outside for each of those 30 times. So, multiple subplots on a single window (or plot?).



How do I make this happen in RStudio?










share|improve this question
















I have the following code,



for (i in 1:length(split_fill_data)) {
new_frame <- split_fill_data[i]
new_frame_2 <- do.call(rbind.data.frame, new_frame)
if(is.element(head(new_frame_2["egress"],1), unlist(mkt_out_60["egress"])))
{
print(head(arrange(new_frame_2,desc(Bytes_Outside))),5)

#print('hello')
plot(new_frame_2$ingress, new_frame_2$Bytes_Outside, main=head(new_frame_2["egress"],1))
#x11()
}
}


The if block is true about 30 times and I want plot() to print a graph of ingress vs. Bytes_Outside for each of those 30 times. So, multiple subplots on a single window (or plot?).



How do I make this happen in RStudio?







r plot






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 19 '18 at 21:29









M-M

6,70661944




6,70661944










asked Nov 19 '18 at 21:03









SampyKIshanSampyKIshan

24




24








  • 1





    par(mfrow = c(5, 6))? Or any other way of doing multiple plots...

    – Gregor
    Nov 19 '18 at 21:32











  • @Gregor problem with using par is that you have to know the number of plots (not exactly, but in a sense) beforehand.

    – M-M
    Nov 19 '18 at 21:58











  • stackoverflow.com/questions/10706753/…

    – M-M
    Nov 19 '18 at 22:11











  • @Masoud "The if block is true about 30 times", sounds like OP has a sense of how many plots. Make it mfrow = c(6, 6) for a little cushion. Otherwise use ggplot, save the plots to a list, and then stick them together at the end (which is, I suppose, what your link is suggesting).

    – Gregor
    Nov 19 '18 at 22:12








  • 1





    @Gregor I didn't mean your solution won't help the OP. I was talking about it in a broader sense. Imagine you have a for-loop and if statement. As you change the parameters the ballpark number of plots would change so using par would not be very sufficient. Cheers

    – M-M
    Nov 19 '18 at 22:16
















  • 1





    par(mfrow = c(5, 6))? Or any other way of doing multiple plots...

    – Gregor
    Nov 19 '18 at 21:32











  • @Gregor problem with using par is that you have to know the number of plots (not exactly, but in a sense) beforehand.

    – M-M
    Nov 19 '18 at 21:58











  • stackoverflow.com/questions/10706753/…

    – M-M
    Nov 19 '18 at 22:11











  • @Masoud "The if block is true about 30 times", sounds like OP has a sense of how many plots. Make it mfrow = c(6, 6) for a little cushion. Otherwise use ggplot, save the plots to a list, and then stick them together at the end (which is, I suppose, what your link is suggesting).

    – Gregor
    Nov 19 '18 at 22:12








  • 1





    @Gregor I didn't mean your solution won't help the OP. I was talking about it in a broader sense. Imagine you have a for-loop and if statement. As you change the parameters the ballpark number of plots would change so using par would not be very sufficient. Cheers

    – M-M
    Nov 19 '18 at 22:16










1




1





par(mfrow = c(5, 6))? Or any other way of doing multiple plots...

– Gregor
Nov 19 '18 at 21:32





par(mfrow = c(5, 6))? Or any other way of doing multiple plots...

– Gregor
Nov 19 '18 at 21:32













@Gregor problem with using par is that you have to know the number of plots (not exactly, but in a sense) beforehand.

– M-M
Nov 19 '18 at 21:58





@Gregor problem with using par is that you have to know the number of plots (not exactly, but in a sense) beforehand.

– M-M
Nov 19 '18 at 21:58













stackoverflow.com/questions/10706753/…

– M-M
Nov 19 '18 at 22:11





stackoverflow.com/questions/10706753/…

– M-M
Nov 19 '18 at 22:11













@Masoud "The if block is true about 30 times", sounds like OP has a sense of how many plots. Make it mfrow = c(6, 6) for a little cushion. Otherwise use ggplot, save the plots to a list, and then stick them together at the end (which is, I suppose, what your link is suggesting).

– Gregor
Nov 19 '18 at 22:12







@Masoud "The if block is true about 30 times", sounds like OP has a sense of how many plots. Make it mfrow = c(6, 6) for a little cushion. Otherwise use ggplot, save the plots to a list, and then stick them together at the end (which is, I suppose, what your link is suggesting).

– Gregor
Nov 19 '18 at 22:12






1




1





@Gregor I didn't mean your solution won't help the OP. I was talking about it in a broader sense. Imagine you have a for-loop and if statement. As you change the parameters the ballpark number of plots would change so using par would not be very sufficient. Cheers

– M-M
Nov 19 '18 at 22:16







@Gregor I didn't mean your solution won't help the OP. I was talking about it in a broader sense. Imagine you have a for-loop and if statement. As you change the parameters the ballpark number of plots would change so using par would not be very sufficient. Cheers

– M-M
Nov 19 '18 at 22:16














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A clunky fix would be to use par(mfrow = c(x,x) by running the for loop once and recording the number of true cases (say in y). Then in a second successive for loop defining the mfrow argument based on the results of the first for loop, where x would equal the square root of the length of y rounded up (i.e. ceiling(sqrt(length(y))). It's hard to write an example (at least for me) without some data to try it out on though. If you post some I will give it a crack. It's not the most elegant solution but I think it might get the job done!






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    A clunky fix would be to use par(mfrow = c(x,x) by running the for loop once and recording the number of true cases (say in y). Then in a second successive for loop defining the mfrow argument based on the results of the first for loop, where x would equal the square root of the length of y rounded up (i.e. ceiling(sqrt(length(y))). It's hard to write an example (at least for me) without some data to try it out on though. If you post some I will give it a crack. It's not the most elegant solution but I think it might get the job done!






    share|improve this answer




























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      A clunky fix would be to use par(mfrow = c(x,x) by running the for loop once and recording the number of true cases (say in y). Then in a second successive for loop defining the mfrow argument based on the results of the first for loop, where x would equal the square root of the length of y rounded up (i.e. ceiling(sqrt(length(y))). It's hard to write an example (at least for me) without some data to try it out on though. If you post some I will give it a crack. It's not the most elegant solution but I think it might get the job done!






      share|improve this answer


























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        0







        A clunky fix would be to use par(mfrow = c(x,x) by running the for loop once and recording the number of true cases (say in y). Then in a second successive for loop defining the mfrow argument based on the results of the first for loop, where x would equal the square root of the length of y rounded up (i.e. ceiling(sqrt(length(y))). It's hard to write an example (at least for me) without some data to try it out on though. If you post some I will give it a crack. It's not the most elegant solution but I think it might get the job done!






        share|improve this answer













        A clunky fix would be to use par(mfrow = c(x,x) by running the for loop once and recording the number of true cases (say in y). Then in a second successive for loop defining the mfrow argument based on the results of the first for loop, where x would equal the square root of the length of y rounded up (i.e. ceiling(sqrt(length(y))). It's hard to write an example (at least for me) without some data to try it out on though. If you post some I will give it a crack. It's not the most elegant solution but I think it might get the job done!







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 19 '18 at 22:13









        André.BAndré.B

        1519




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