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

Jim Lemon drjimlemon @ending from gm@il@com
Wed Nov 21 05:09:47 CET 2018 

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 using gmail.com>
wrote:

> 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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> On Wed, Nov 21, 2018 at 8:18 AM Jim Lemon <drjimlemon using gmail.com> wrote:
>
>> 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 using gmail.com> wrote:
>>
>>> 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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>>>
>>> On Wed, Nov 21, 2018 at 7:17 AM Jim Lemon <drjimlemon using gmail.com> wrote:
>>>
>>>> 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 using gmail.com> wrote:
>>>>
>>>>> 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.
>>>>> [image: Mailtrack]
>>>>> <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> Sender
>>>>> notified by
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>>>>> 7:02:18 AM
>>>>>
>>>>>
>>>>> On Wed, Nov 21, 2018 at 4:38 AM Jim Lemon <drjimlemon using gmail.com>
>>>>> wrote:
>>>>>
>>>>>> 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 using gmail.com> wrote:
>>>>>> >
>>>>>> > 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.
>>>>>> >
>>>>>> > --
>>>>>> > *Best Regards,*
>>>>>> > *Subhamitra Patra*
>>>>>> > *Phd. Research Scholar*
>>>>>> > *Department of Humanities and Social Sciences*
>>>>>> > *Indian Institute of Technology, Kharagpur*
>>>>>> > *INDIA*
>>>>>> >
>>>>>> >
>>>>>> >
>>>>>> >
>>>>>> >
>>>>>> >
>>>>>> >
>>>>>> >
>>>>>> > [image: Mailtrack]
>>>>>> > <
>>>>>> https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&
>>>>>> >
>>>>>> > Sender
>>>>>> > notified by
>>>>>> > Mailtrack
>>>>>> > <
>>>>>> https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&
>>>>>> >
>>>>>> > 11/20/18,
>>>>>> > 11:49:42 PM
>>>>>> >
>>>>>> >         [[alternative HTML version deleted]]
>>>>>> >
>>>>>> > ______________________________________________
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>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> *Best Regards,*
>>>>> *Subhamitra Patra*
>>>>> *Phd. Research Scholar*
>>>>> *Department of Humanities and Social Sciences*
>>>>> *Indian Institute of Technology, Kharagpur*
>>>>> *INDIA*
>>>>>
>>>>
>>>
>>> --
>>> *Best Regards,*
>>> *Subhamitra Patra*
>>> *Phd. Research Scholar*
>>> *Department of Humanities and Social Sciences*
>>> *Indian Institute of Technology, Kharagpur*
>>> *INDIA*
>>>
>>
>
> --
> *Best Regards,*
> *Subhamitra Patra*
> *Phd. Research Scholar*
> *Department of Humanities and Social Sciences*
> *Indian Institute of Technology, Kharagpur*
> *INDIA*
>

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