S3 generic for to_relational_data function.
to_relational_data.RdThis function takes an object and converts into a TealData object, the primary data
object for use in teal applications.
Arguments
- data
TealDataset,TealDatasetConnector,data.frame,MultiAssayExperiment,listorfunctionreturning a named list.
Examples
to_relational_data(head(iris))
#> A TealData object containing 1 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A TealDataset object containing the following data.frame (6 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
to_relational_data(dataset("IRIS", head(iris)))
#> A TealData object containing 1 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A TealDataset object containing the following data.frame (6 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
to_relational_data(list(iris = head(iris), mtcars = head(mtcars)))
#> A TealData object containing 2 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A TealDataset object containing the following data.frame (6 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 (6 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
d_connector <- dataset_connector("iris", callable_function(function() head(iris)))
d_connector$pull()
to_relational_data(d_connector)
#> A TealData object containing 1 TealDataset/TealDatasetConnector object(s) as element(s):
#> --> Element 1:
#> A TealDatasetConnector object, named iris, containing a TealDataset object that has been loaded/pulled:
#> A TealDataset object containing the following data.frame (6 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