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Create a Table

Source: R/tt_compatibility.R
rtable.Rd

Create a Table

Usage 

rtable(header, ..., format = NULL, hsep = default_hsep(), inset = 0L)

rtablel(header, ..., format = NULL, hsep = default_hsep(), inset = 0L)

Arguments

header

Information defining the header (column structure) of the table. This can be as row objects (legacy), character vectors or a InstantiatedColumnInfo object.

...

Rows to place in the table.

format

character(1) or function. The format label (string) or formatter function to apply to the cell values passed via .... See list_valid_format_labels for currently supported format labels.

hsep

character(1). Set of character(s) to be repeated as the separator between the header and body of the table when rendered as text. Defaults to a connected horizontal line (unicode 2014) in locals that use a UTF charset, and to - elsewhere (with a once per session warning). See formatters::set_default_hsep() for further information.

inset

integer(1). The table inset for the row or table being constructed. See table_inset.

Value

a formal table object of the appropriate type (ElementaryTable

or TableTree)

See also

Other compatibility: rheader(), rrowl(), rrow()

Examples 


rtable(
  header = LETTERS[1:3],
  rrow("one to three", 1, 2, 3),
  rrow("more stuff", rcell(pi, format = "xx.xx"), "test", "and more")
)
#>                 A      B        C    
#> —————————————————————————————————————
#> one to three    1      2        3    
#> more stuff     3.14   test   and more


# Table with multirow header
sel <- iris$Species == "setosa"
mtbl <- rtable(
  header = rheader(
    rrow(
      row.name = NULL, rcell("Sepal.Length", colspan = 2),
      rcell("Petal.Length", colspan = 2)
    ),
    rrow(NULL, "mean", "median", "mean", "median")
  ),
  rrow(
    row.name = "All Species",
    mean(iris$Sepal.Length), median(iris$Sepal.Length),
    mean(iris$Petal.Length), median(iris$Petal.Length),
    format = "xx.xx"
  ),
  rrow(
    row.name = "Setosa",
    mean(iris$Sepal.Length[sel]), median(iris$Sepal.Length[sel]),
    mean(iris$Petal.Length[sel]), median(iris$Petal.Length[sel])
  )
)

mtbl
#>                Sepal.Length      Petal.Length  
#>                mean    median    mean    median
#> ———————————————————————————————————————————————
#> All Species    5.84     5.80     3.76     4.35 
#> Setosa        5.006      5      1.462     1.5  

names(mtbl) # always first row of header
#> [1] "Sepal.Length" "Sepal.Length" "Petal.Length" "Petal.Length"

# Single row header

tbl <- rtable(
  header = c("Treatement\nN=100", "Comparison\nN=300"),
  format = "xx (xx.xx%)",
  rrow("A", c(104, .2), c(100, .4)),
  rrow("B", c(23, .4), c(43, .5)),
  rrow(""),
  rrow("this is a very long section header"),
  rrow("estimate", rcell(55.23, "xx.xx", colspan = 2)),
  rrow("95% CI", indent = 1, rcell(c(44.8, 67.4), format = "(xx.x, xx.x)", colspan = 2))
)
tbl
#>                                       Treatement     Comparison 
#>                                         N=100          N=300    
#> ————————————————————————————————————————————————————————————————
#> A                                    104 (20.00%)   100 (40.00%)
#> B                                    23 (40.00%)    43 (50.00%) 
#>                                                                 
#> this is a very long section header                              
#> estimate                                        55.23           
#> 95% CI                                      (44.8, 67.4)        

row.names(tbl)
#> [1] "A"                                  "B"                                 
#> [3] ""                                   "this is a very long section header"
#> [5] "estimate"                           "95% CI"                            
names(tbl)
#> [1] "Treatement" "Comparison"


# Subsetting
tbl[1, ]
#>      Treatement     Comparison 
#>        N=100          N=300    
#> ———————————————————————————————
#> A   104 (20.00%)   100 (40.00%)
tbl[, 1]
#>                                       Treatement 
#>                                         N=100    
#> —————————————————————————————————————————————————
#> A                                    104 (20.00%)
#> B                                    23 (40.00%) 
#>                                                  
#> this is a very long section header               
#> estimate                                55.23    
#> 95% CI                               (44.8, 67.4)

tbl[1, 2]
#>      Comparison 
#>        N=300    
#> ————————————————
#> A   100 (40.00%)
tbl[2, 1]
#>     Treatement 
#>        N=100   
#> ———————————————
#> B   23 (40.00%)

tbl[3, 2]
#>    Comparison
#>      N=300   
#> —————————————
#>              
tbl[5, 1]
#>            Treatement
#>              N=100   
#> —————————————————————
#> estimate     55.23   
tbl[5, 2]
#>            Comparison
#>              N=300   
#> —————————————————————
#> estimate     55.23   

# # Data Structure methods
dim(tbl)
#> [1] 6 2
nrow(tbl)
#> [1] 6
ncol(tbl)
#> [1] 2
names(tbl)
#> [1] "Treatement" "Comparison"


# Colspans

tbl2 <- rtable(
  c("A", "B", "C", "D", "E"),
  format = "xx",
  rrow("r1", 1, 2, 3, 4, 5),
  rrow("r2", rcell("sp2", colspan = 2), "sp1", rcell("sp2-2", colspan = 2))
)

tbl2
#>      A    B    C     D    E 
#> ————————————————————————————
#> r1   1    2    3     4    5 
#> r2    sp2     sp1    sp2-2