Teal data — teal_data • teal.data

Universal function to pass data to teal application

Usage

teal_data(..., join_keys = teal.data::join_keys(), code = "", check = FALSE)

Arguments

...: (TealDataConnector, TealDataset, TealDatasetConnector)
objects
join_keys: (JoinKeys) or a single (JoinKeySet)
(optional) object with dataset column relationships used for joining. If empty then no joins between pairs of objects
code: (character) code to reproduce the datasets.
check: (logical) reproducibility check - whether to perform a check that the pre-processing code included in the object definitions actually produces those objects. If check is true and preprocessing code is empty an error will be thrown.

Value

(TealData)

Examples

x1 <- dataset(
  "x1",
  iris,
  code = "x1 <- iris"
)

x2 <- dataset(
  "x2",
  mtcars,
  code = "x2 <- mtcars"
)

teal_data(x1, x2)
#> A TealData object containing 2 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A TealDataset object containing the following data.frame (150 rows and 5 columns):
#>   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 1          5.1         3.5          1.4         0.2  setosa
#> 2          4.9         3.0          1.4         0.2  setosa
#> 3          4.7         3.2          1.3         0.2  setosa
#> 4          4.6         3.1          1.5         0.2  setosa
#> 5          5.0         3.6          1.4         0.2  setosa
#> 6          5.4         3.9          1.7         0.4  setosa
#> ...
#> --> Element 2:
#> A TealDataset object containing the following data.frame (32 rows and 11 columns):
#>                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
#> Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
#> Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
#> Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
#> Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1
#> ...