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[R studio] Plotting of line chart for each columns at 1 page

10 messages · Bert Gunter, Jim Lemon, Subhamitra Patra +1 more

Subhamitra Patra
# 
Dear R users,

I have one excel file with 5 sheets. The no. of columns vary for each
sheet. The 1st sheet consists of 38 columns. So, I want to plot 38 separate
line charts and arrange them in par(mfrow = c(4, 10)) order. Please suggest
me how to do this. I have tried with the following code by running a loop
inside of a sheet, but it is not working. Further, I want to run loops for
each sheet.

par(mfrow = c(4, 10))
loop.vector <- 1:38
for (i in loop.vector)
x <- JJ[,i]
library(ggplot2)
  library(cowplot)
  plot.mpg <- ggplot(mpg, aes(x,
                              main = paste ("country", i),
                              xlab = "Scores",
                              xlim = c(1,500)
                              y = colnames[i,], colour = factor(cyl))) +
  geom_line(size=2.5)
save_plot("mpg.png", plot.mpg,
          base_aspect_ratio = 1.3)

I want to give my X axis name as scores of (1,500) and Y axis as the
particular column names for all graphs.

Please suggest.

Thanks in advance.
Bert Gunter
# 
You need to do some studying! ggplot is built on the grid graphics system,
which is separate from the base graphics system. The par() function is part
of the *base* graphics system and so ignored by ggplot.

Others may offer you solutions using the "faceting" functionality of
ggplot. But you really should reading up on this on your own. There are
many good tutorials on ggplot2 that are available on the web.

-- Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Tue, Nov 20, 2018 at 10:19 AM Subhamitra Patra <
subhamitra.patra at gmail.com> wrote:

            

      
      
      
    

        

      
      
    

        

  
  


  


      

    

    

      
      

        


  

        

      Jim Lemon
    

    

      
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Hi Subhamitra,
As Bert noted, you are mixing base and grid graphics. Here is a simple
way to get a plot like what you described. It will probably take more
work to find what you actually do want and discover how to get it.

for(i in 1:38) assign(paste0("veh",i),rep(sample(10:35,1),10)+runif(10,-4,4))
mpg<-data.frame(veh1,veh2,veh3,veh4,veh5,veh6,veh7,veh8,veh9,veh10,
 veh11,veh12,veh13,veh14,veh15,veh16,veh17,veh18,veh19,veh20,
 veh21,veh22,veh23,veh24,veh25,veh26,veh27,veh28,veh29,veh30,
 veh31,veh32,veh33,veh34,veh35,veh36,veh37,veh38)
pdf("mpg.pdf",width=30,height=12)
par(mfrow=c(4,10))
for(i in 1:38)
 plot(seq(1,500,length.out=10),mpg[,i],type="l",xlab="Distance",
  ylab=names(mpg)[i],main="MPG by distance")
dev.off()

Jim

On Wed, Nov 21, 2018 at 5:19 AM Subhamitra Patra

        
<subhamitra.patra at gmail.com> wrote:

            

      
      
      
    

        

      
      
    

  
  


  


      

    

    

      
      

        


  

        

      Subhamitra Patra
    

    

      
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Hello Sir,

Thanks, I'll check them out.

But, I am not understanding 2 points of your suggestion.

1. In the line,* "*for(i in 1:38) assign(paste0("veh",i),rep(sam
ple(10:35,1),10)+runif(10,-4,*4))", *what veh, rep(sample(10:35,1),10)
+runif(10,-4,4)) indicate? Here veh indicates columns right?
*2. In the
line, mpg<-data.frame(veh1,veh2,veh3,veh4,veh5,veh6,veh7,veh8,veh9,veh10,*
* veh11,veh12,veh13,veh14,**veh15,veh16,veh17,veh18,veh19,**veh20,*
* veh21,veh22,veh23,veh24,**veh25,veh26,veh27,veh28,veh29,**veh30,*
* veh31,veh32,veh33,veh34,**veh35,veh36,veh37,veh38)  ** , *veh[i]
indicates column sequence, right? I need to give column names as the header
of their respective graphs. Please suggest me How to add this?


I am very new to R and therefore asking you these queries which might be
simple for you.

I expect positive help from you.

Thanks for your kind help.
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11/21/18,
7:02:18 AM

        
On Wed, Nov 21, 2018 at 4:38 AM Jim Lemon <drjimlemon at gmail.com> wrote:

        

            

      
      
      
    

        

      
      
    

        

      
      
    

        

  
    

      
      
    

  


  


      

    

    

      
      

        


  

        

      Jim Lemon
    

    

      
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Hi Subhamitra,

1. Here I manufacture some data so that the example is "reproducible", that
is anyone can run the code and get the same output that I do. Yes,
veh1...veh38 are the names of the variables.

2. Here I join the 38 variables I created into a data frame, which I think
is the input for your plotting routine. This names of the columns of the
data frame become the names of the variables.

When you say that you want the column names as the "header" (title) of each
plot, I think if you change the plotting loop to this:

pdf("mpg.pdf",width=30,height=12)
par(mfrow=c(4,10))
for(i in 1:38)
 plot(seq(1,500,length.out=10),mpg[,i],type="l",xlab="Distance",
  ylab="MPG",main=names(mpg)[i])
dev.off()

you will get what you requested. Remember that I have done this in base
graphics, not ggplot.

Jim

On Wed, Nov 21, 2018 at 12:37 PM Subhamitra Patra <

        
subhamitra.patra at gmail.com> wrote:

        

            

      
      
      
    

        

      
      
    

        

      
      
    

            

      
      
      
    

        

  
  


  


      

    

    

      
      

        


  

        

      Subhamitra Patra
    

    

      
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Hello Sir,

Thanks, now I understood and will check them out.

One more thing I want to ask that I have 1 excel file with multiple (i.e.
12 sheets). Each sheet contains different number of columns, for instance,
1st sheet contains 38 columns, 2nd sheet contains 10 columns, Third 2
columns, 4th 1 column and so on. Actually, due to some missing observations
in these columns, I couldn't add them in 1 sheet.

As you suggested the below code in the last mail,

par(mfrow=c(4,10))
for(i in 1:38)
 plot(seq(1,500,length.out=10),mpg[,i],type="l",xlab="Distance",
  ylab="MPG",main=names(mpg)[i])
dev.off()

Do I need to run the code separately for each sheet?

Actually, in par (mfrow=c(4,10)), the plot for 38 columns will be added,
the space for extra 2 will remain as empty. So, I thought to add plots for
the columns from the next sheet in those emptied space.

Is there any way that I can add plots from the next sheets of the same
excel file in the emptied space? In other words, Is there any way to append
plots from all sheets?

Kindly help a new R learner Sir for which I shall be always grateful to you.

Thank you very much for your kind help.



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11/21/18,
7:30:30 AM

        
On Wed, Nov 21, 2018 at 7:17 AM Jim Lemon <drjimlemon at gmail.com> wrote:

        

            

      
      
      
    

        

      
      
    

        

      
      
    

            

      
      
      
    

        

  
    

      
      
    

  


  


      

    

    

      
      

        


  

        

      Jim Lemon
    

    

      
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I assume that you are importing the Excel sheets separately. When you
import a sheet, you can get the number of columns with this:

ncol(<name of data frame>)

Using the data frame "mpg" that I created:

ncolumns<-ncol(mpg)
ncolumns
[1] 38

You can then substitute "ncolumns" each time you import another sheet. How
you want to deal with the varying numbers of columns you will get is
another matter. One way is to work out the total number of plots you want
and put them all onto one PDF page. Say you have 50 plots overall. You
could start a very big PDF page:

pdf("allplots.pdf",width=30,height=15)
par(mfrow=c(5,10))
# import your first sheet here (38 columns)
ncolumns<-ncol(mpg)
for(i in 1:ncolumns)
 plot(seq(1,500,length.out=10),mpg[,i],type="l",xlab="Distance",
  ylab="MPG",main=names(mpg)[i])# import your second sheet here, say 10
columns
# import your second sheet here, (10 columns)
ncolumns<-ncol(mpg1)
for(i in 1:ncolumns)
 plot(seq(1,500,length.out=10),mpg1[,i],type="l",xlab="Distance",
  ylab="MPG",main=names(mpg)[i])# import your third sheet here, say 2
columns
# import your second sheet here, (2 columns)
ncolumns<-ncol(mpg2)
for(i in 1:ncolumns)
 plot(seq(1,500,length.out=10),mpg2[,i],type="l",xlab="Distance",
  ylab="MPG",main=names(mpg)[i])
# finish plotting
dev.off()

You would then have 50 plots on the PDF page. I am assuming that all of
your sheets have the same number of rows and a few other things. This seems
like a lot of plots, and I suspect that you could work out a better way to
display all this information.

Jim


On Wed, Nov 21, 2018 at 1:20 PM Subhamitra Patra <subhamitra.patra at gmail.com>
wrote:

            

      
      
      
    

        

      
      
    

        

      
      
    

            

      
      
      
    

        

  
  


  


      

    

    

      
      

        


  

        

      Subhamitra Patra
    

    

      
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Hello Sir,

Thank you very much. I will try it out and will let you the result.

The no. of rows varies per sheet by a different number of observations. Due
to different no. of rows or observations, I separated the columns in
different sheets.

*Will a different number of rows create a problem for appending all plots?*

Concerning your last suggestion "*This seems like a lot of plots, and I
suspect that you could work out a better way to display all this
information.*",  I am doing a multi-country study and obtained results for
each country. I would summarize the final result at the end. But, for
displaying the information for each country, I thought the plot is the best
way to give a supplementary result on each country. Sir, in this context, I
would like to take your suggestion that Is the way what I am doing, right
to proceed? If any alternative way is available, please suggest me.

Thank you very much, Sir, for your kind help and suggestions.

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11/21/18,
9:12:14 AM

        
On Wed, Nov 21, 2018 at 8:18 AM Jim Lemon <drjimlemon at gmail.com> wrote:

        

            

      
      
      
    

        

      
      
    

        

      
      
    

            

      
      
      
    

        

  
    

      
      
    

  


  


      

    

    

      
      

        


  

        

      Jim Lemon
    

    

      
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For your first question, yes, you will need to adjust the number of "x"
values to match the number of "y" values. You can use the "nrow" function
to get that number. I don't really know what the abscissa scale is on your
plots, I just made up the data I used.

If you are comparing countries, you may want to divide the results into
countries of different characteristics, perhaps GDP or similar. Otherwise
you will end up with a quite large PDF page. This is okay if you are
viewing it electronically, but will present a challenge in hard copy.

Jim

On Wed, Nov 21, 2018 at 2:51 PM Subhamitra Patra <subhamitra.patra at gmail.com>
wrote:

            

      
      
      
    

        

      
      
    

        

      
      
    

            

      
      
      
    

        

  
  


  


      

    

    

      
      

        


  

        

      PIKAL Petr
    

    

      
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Hi

When I do multiple plots of similar data I usually put the plots into the multipage pdf file

pdf("somename.pdf")
for (i in columns) {
p<-ggplot(something)
print(p+geom_point(size=4)+stat_smooth(se=F, span=0.5, size=1.3)+
facet_grid(al2o3~teplota, labeller="label_both"))

or

plot(something)

}
dev.off()

This will generate somename.pdf in your working directory and plots will be definitelly bigger than 40 plots in one page.

Another approach could be to store plots as objects in a list (which is easy done with ggplot) but rather trickier with base graphics and make actual plotting after the whole list is populated with your plots.

https://www.andrewheiss.com/blog/2016/12/08/save-base-graphics-as-pseudo-objects-in-r/

Cheers
Petr

            

      
      
      
    

        

      
      
    

        

      
      
    

            

      
      
      
    

        

      
      
    

        
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