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R: expss package: possible to automate table generation?


Add table row in jQueryCSS3's border-radius property and border-collapse:collapse don't mix. How can I use border-radius to create a collapsed table with rounded corners?Word-wrap in an HTML tableCan we have multiple <tbody> in same <table>?Alternate table row color using CSS?Complex sql query: grab multiple IDs from tableOne based on field from tableTwo, update into tableTwoCSS and Label Input alignment vs. tablesAutomating a .php command in Delphi via oleobjectReorder columns of expss tableR expss package: format numbers by statistic / apply different format to alternate rows






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;








1















I'm looking for a way to automate table generation using the expss package in an attempt to move from spss to R.
I think this should be simple but I seem to miss something...



I only define a few different tables based on the question type.
Eg. the table for single respons looks like below



banner <- d %>% tab_cols(total(),Q2.banner,Q3.banner)
banner %>%
tab_cells (Q1) %>%
tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
tab_pivot (stat_position = "inside_rows") %>%
drop_c () %>%
custom_format()


I'm looking for a function in which I only have to specify the variable
Eg .



Table1 = function (Q, banner) 
banner %>%
tab_cells (Q) %>%
tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
tab_pivot (stat_position = "inside_rows") %>%
drop_c () %>%
custom_format()



Ideally I would like to add a table title as well.
I'm running the table books in R Notebook.



Any other tips to automate table generation are all welcome.



Thanks for all help,
michaëla










share|improve this question




























    1















    I'm looking for a way to automate table generation using the expss package in an attempt to move from spss to R.
    I think this should be simple but I seem to miss something...



    I only define a few different tables based on the question type.
    Eg. the table for single respons looks like below



    banner <- d %>% tab_cols(total(),Q2.banner,Q3.banner)
    banner %>%
    tab_cells (Q1) %>%
    tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
    tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
    tab_pivot (stat_position = "inside_rows") %>%
    drop_c () %>%
    custom_format()


    I'm looking for a function in which I only have to specify the variable
    Eg .



    Table1 = function (Q, banner) 
    banner %>%
    tab_cells (Q) %>%
    tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
    tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
    tab_pivot (stat_position = "inside_rows") %>%
    drop_c () %>%
    custom_format()



    Ideally I would like to add a table title as well.
    I'm running the table books in R Notebook.



    Any other tips to automate table generation are all welcome.



    Thanks for all help,
    michaëla










    share|improve this question
























      1












      1








      1








      I'm looking for a way to automate table generation using the expss package in an attempt to move from spss to R.
      I think this should be simple but I seem to miss something...



      I only define a few different tables based on the question type.
      Eg. the table for single respons looks like below



      banner <- d %>% tab_cols(total(),Q2.banner,Q3.banner)
      banner %>%
      tab_cells (Q1) %>%
      tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
      tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
      tab_pivot (stat_position = "inside_rows") %>%
      drop_c () %>%
      custom_format()


      I'm looking for a function in which I only have to specify the variable
      Eg .



      Table1 = function (Q, banner) 
      banner %>%
      tab_cells (Q) %>%
      tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
      tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
      tab_pivot (stat_position = "inside_rows") %>%
      drop_c () %>%
      custom_format()



      Ideally I would like to add a table title as well.
      I'm running the table books in R Notebook.



      Any other tips to automate table generation are all welcome.



      Thanks for all help,
      michaëla










      share|improve this question














      I'm looking for a way to automate table generation using the expss package in an attempt to move from spss to R.
      I think this should be simple but I seem to miss something...



      I only define a few different tables based on the question type.
      Eg. the table for single respons looks like below



      banner <- d %>% tab_cols(total(),Q2.banner,Q3.banner)
      banner %>%
      tab_cells (Q1) %>%
      tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
      tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
      tab_pivot (stat_position = "inside_rows") %>%
      drop_c () %>%
      custom_format()


      I'm looking for a function in which I only have to specify the variable
      Eg .



      Table1 = function (Q, banner) 
      banner %>%
      tab_cells (Q) %>%
      tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
      tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
      tab_pivot (stat_position = "inside_rows") %>%
      drop_c () %>%
      custom_format()



      Ideally I would like to add a table title as well.
      I'm running the table books in R Notebook.



      Any other tips to automate table generation are all welcome.



      Thanks for all help,
      michaëla







      html-table automation rnotebook expss






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 22 at 16:43









      michaela stubbersmichaela stubbers

      163




      163






















          1 Answer
          1






          active

          oldest

          votes


















          0














          There is a rather universal solution for working with non-standard evaluation - eval.parent(substitute(...)). In your case it looks like this:



          Table1 = function (Q, banner) 
          eval.parent(substitute(

          banner %>%
          tab_cells (Q) %>%
          tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
          tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
          tab_pivot (stat_position = "inside_rows") %>%
          drop_c () %>%
          custom_format()

          ))






          share|improve this answer























          • Thanks a lot again Gregory, works again perfectly!

            – michaela stubbers
            Mar 25 at 10:56











          Your Answer






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          1 Answer
          1






          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          There is a rather universal solution for working with non-standard evaluation - eval.parent(substitute(...)). In your case it looks like this:



          Table1 = function (Q, banner) 
          eval.parent(substitute(

          banner %>%
          tab_cells (Q) %>%
          tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
          tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
          tab_pivot (stat_position = "inside_rows") %>%
          drop_c () %>%
          custom_format()

          ))






          share|improve this answer























          • Thanks a lot again Gregory, works again perfectly!

            – michaela stubbers
            Mar 25 at 10:56















          0














          There is a rather universal solution for working with non-standard evaluation - eval.parent(substitute(...)). In your case it looks like this:



          Table1 = function (Q, banner) 
          eval.parent(substitute(

          banner %>%
          tab_cells (Q) %>%
          tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
          tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
          tab_pivot (stat_position = "inside_rows") %>%
          drop_c () %>%
          custom_format()

          ))






          share|improve this answer























          • Thanks a lot again Gregory, works again perfectly!

            – michaela stubbers
            Mar 25 at 10:56













          0












          0








          0







          There is a rather universal solution for working with non-standard evaluation - eval.parent(substitute(...)). In your case it looks like this:



          Table1 = function (Q, banner) 
          eval.parent(substitute(

          banner %>%
          tab_cells (Q) %>%
          tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
          tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
          tab_pivot (stat_position = "inside_rows") %>%
          drop_c () %>%
          custom_format()

          ))






          share|improve this answer













          There is a rather universal solution for working with non-standard evaluation - eval.parent(substitute(...)). In your case it looks like this:



          Table1 = function (Q, banner) 
          eval.parent(substitute(

          banner %>%
          tab_cells (Q) %>%
          tab_stat_cases(total_row_position = c("above"),label = 'N') %>%
          tab_stat_cpct(total_row_position = c("none"), label = '%') %>%
          tab_pivot (stat_position = "inside_rows") %>%
          drop_c () %>%
          custom_format()

          ))







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 22 at 22:15









          Gregory DeminGregory Demin

          2,14721217




          2,14721217












          • Thanks a lot again Gregory, works again perfectly!

            – michaela stubbers
            Mar 25 at 10:56

















          • Thanks a lot again Gregory, works again perfectly!

            – michaela stubbers
            Mar 25 at 10:56
















          Thanks a lot again Gregory, works again perfectly!

          – michaela stubbers
          Mar 25 at 10:56





          Thanks a lot again Gregory, works again perfectly!

          – michaela stubbers
          Mar 25 at 10:56



















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