Data types are double, integer, numeric, and character. All factors are converted to character before the dataframe is returned. If header is false, the dataframe is returned with all the rows and column names in the pattern "Vindex," where "index" is the position of the column.
read_clipboard(header = TRUE, log = "DEPRECATED", log_details = "")
header | True if data has a header. |
---|---|
log | (Deprecated) Log this function call to a log.md file? |
log_details | (Deprecated) If log is TRUE, additional notes to include with the log entry. |
Other clipboard functions:
copy_cb()
,
copy_to_clipboard()
,
read_cb_hl()
,
read_cb_trbl()
,
read_cb()
library(tidyverse) # Test Data test_data <- tibble(A = 1:3, B = c("Apples", "Bananas", "Oranges"), C = factor(c("Apples", "Bananas", "Oranges")), D = runif(3)) # Copy to Clipboard copy_cb(data = test_data) # Read Clipboard read_cb()#> A B C D #> 1 1 Apples Apples 0.03424133 #> 2 2 Bananas Bananas 0.32038573 #> 3 3 Oranges Oranges 0.40232824#> A B C D #> "integer" "character" "factor" "numeric"sapply(read_cb(), FUN = class) # `read_cb()` function mutates all factors to character before returning#> A B C D #> "integer" "character" "character" "numeric"#> V1 V2 V3 V4 #> 1 A B C D #> 2 1 Apples Apples 0.0342413326725364 #> 3 2 Bananas Bananas 0.320385730825365 #> 4 3 Oranges Oranges 0.402328238356858#> tibble::tribble(, #> ~A,~B,~C,~D, #> 1, "Apples", "Apples", 0.0342413326725364, #> 2, "Bananas", "Bananas", 0.320385730825365, #> 3, "Oranges", "Oranges", 0.402328238356858, #> )#> tibble::tribble(, #> ~V1,~V2,~V3,~V4, #> "A", "B", "C", "D", #> "1", "Apples", "Apples", "0.0342413326725364", #> "2", "Bananas", "Bananas", "0.320385730825365", #> "3", "Oranges", "Oranges", "0.402328238356858", #> )#> tibble::tribble(, #> ~A,~B,~C,~D, #> 1, 'Apples', 'Apples', 0.0342413326725364, #> 2, 'Bananas', 'Bananas', 0.320385730825365, #> 3, 'Oranges', 'Oranges', 0.402328238356858, #> )#> tibble::tribble(, #> ~V1,~V2,~V3,~V4, #> 'A', 'B', 'C', 'D', #> '1', 'Apples', 'Apples', '0.0342413326725364', #> '2', 'Bananas', 'Bananas', '0.320385730825365', #> '3', 'Oranges', 'Oranges', '0.402328238356858', #> )