tatoo package vignette



tatoo is designed for creating excel reports from lists of data.frames with minimal effort, while still providing some basic formatting capabillities. tatoo functions can combine data.frames in ways that require additional effort in base R, and to add metadata (id, title, ...) that can be used for printing and xlsx export. The Tatoo_report class is provided as a convenient helper to write several such tables to a workbook, one table per worksheet.

Tatoo tables and reports can directly be saved to .xlsx files, or convert to Workbook objects with as_workbook() so that you can process them further using the openxlsx package. While tatoo implements convenient print methods so that you can preview the tables you created in the console, most of the functionality provided by this package only makes real sense for xlsx export.

df1 <- data.frame(
  Species = c("setosa", "versicolor", "virginica"),
  length = c(5.01, 5.94, 6.59),
  width = c(3.43, 2.77, 2.97)

df2 <- data.frame(
  Species = c("setosa", "versicolor", "virginica"),
  length = c(0.35, 0.52, 0.64),
  width = c(0.38, 0.31, 0.32)

Tagged tables

a table with added captions

tag_table() allows you to attach different levels of captioning to a data.frame or Tatoo_table. Those captions are used for printing and .xlsx export.

# Create metadata object
ex_meta <- tt_meta(
  table_id  = 'T01',  
  title     = 'Example Table', 
  longtitle = 'This is an example for tables created with the tatool package', 
  subtitle  = 'It features a lot of titles and very little data', 
  footer    = c('This table was created from the iris dataset', 
                'It consists of 3 different types of irises’',
                 '(Setosa, Versicolour, and Virginica)') 

# Create metadata object
tagged_table <- tag_table(
  meta = ex_meta


Metadata cann also be assigned an modified via set function.

meta(df1)  <- ex_meta # df1 gets automatically converted to a Tagged_table

title(df1) <- 'A table with a title'
table_id(df1) <- NULL
longtitle(df1) <- NULL
subtitle(df1) <- NULL
footer(df1) <- NULL


Mashed tables

Tables combined with alternating rows or columns

Combine two data.frames in such a way that you and up with alternating rows or columns. Internally, a Mashed_table is just a list of two or more tables, and metadata on how to combine them.

Mashed_tables can be constructed from individual data.frames or a list of data.frames

mashed_table <- mash_table(df1, df2)
mashed_table <- mash_table_list(list(df1, df2)) # same as above

title(mashed_table) <- 'A mashed table'
subtitle(mashed_table) <- 
  'Two or more tables mashed together so that rows or columns alternate'


Additional formatting parameters can be saved as attributes to a mash table. Those attributes honored by the print and (more significantly) the as_workbook() methods.

A row-mashed table

mashed_table_row <- mash_table(
  df1, df2, 
  mash_method = 'row', 
  insert_blank_row = FALSE,
  meta = tt_meta(title = 'A row-mashed table')

A col-mashed table

mashed_table_col <- mash_table(
  mean = df1, sd = df2, 
  mash_method = 'col', 
  id_vars = 'Species',
  meta = tt_meta(title = 'A col-mashed table')


The display parameters are just saved as attributes, and can be modified conveniently via set functions. Named mashed tables will have two layers of colnames in print and xlsx output.

mash_method(mashed_table) <- 'col'
id_vars(mashed_table) <- 'Species'
names(mashed_table) <- c('mean', 'sd')


You can also directly override the display parameters saved in the Mashed_table object for printing and xlsx export

print(mashed_table, mash_method = 'row', insert_blank_row = TRUE)

All Tatoo table classes can be converted to openxlsx Workbooks via as_workbook(). Examples for finished .xlsx files are beyond the scope of this vignette.


Convience functions

rmash() and cmash() are convient shortcut functions if you just need to quickly mash together a data.frame (similar to rbind() and cbind()). Note that the result is a data.table and not a data.frame, so if you are not familiar with the data.table package you might want to manually convert the result to a data.frame to prevent headaches.


rmash() can be used on several data.frames or on an existing Mahed table.

rmash(df1, df2) 
rmash(df1, df2) 

rmash() also supports the insert_blank_row argument of Mashed_table() for consistency.

rmash(df1, df2, insert_blank_row = TRUE)


The interface of cmash() is very similar to rmash()

cmash(df1,  df2)
cmash(df1, df2) 

More polished output can be produced by naming the inputs and using the id_vars argument.

cmash(mean = df1, sd = df2, id_vars = 'Species')

Composite tables

a table with multi-column headings

comp_table() works like cbind(), but separate super-headings are preserved for each table. Names for each table can be provided directly, or alternatively the comp_table_list() constructor can be used as above with mash_table.

composite_table <- comp_table(mean = df1, sd = df2)
composite_table <- comp_table_list(list(mean = df1, sd = df2))  # same as above

title(composite_table) <- 'A composite table'
subtitle(composite_table) <- 
  'Two or more tables put side by side, with multi-column-headings'


When creating a Composite table, the id_vars argument can be used to combine the tables via merge, rather than via cbind.

comp_table(mean = df1, sd = df2, id_vars = 'Species')

Stacked tables

several tables on one excel sheet

Stacked tables simply stack two tables above each other. The only meaningful usecase for this at the moment is to put several tables above each other on the same .xlsx sheet. A stack table can be consist of an arbitrary number of data.frames or Tatoo_tables -- except other Stacked_tables.

stacked_table <- stack_table(df1, mashed_table, composite_table)
stacked_table <- stack_table_list(list(df1, mashed_table, composite_table))  # same as above

title(stacked_table) <- 'A stacked table'
subtitle(stacked_table) <- 
  'A list of multiple tables, mainly useful for xlsx export'


Tatoo Report

one excel sheet per table

A tatoo report is a list of an arbitrary number of Tatoo tables. When exported to xlsx, a sepparate worksheet will be created for each element table.

tatoo_report <- compile_report(
  tagged = tagged_table, 
  mashed_row = mashed_table_row,
  mashed_col = mashed_table_col, 
  composite = composite_table, 
  stacked = stacked_table


Excel export

For further processing with openxlsx.

wb <- as_workbook(tatoo_report)  

For direct xlsx export

# save_xlsx(tatoo_report, paste(tempfile(), ".xlsx"), overwrite = TRUE)

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tatoo documentation built on May 1, 2019, 9:52 p.m.