Copy a Dataframe to Clipboard

Copy a Dataframe to Clipboard

copy_cb(data, log = "DEPRECATED", log_details = "")

Arguments

data	A dataframe or tibble.
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.

See also

Other clipboard functions: copy_to_clipboard(), read_cb_hl(), read_cb_trbl(), read_cb(), read_clipboard()

Examples

library(tidyverse)
#> ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
#> ✓ ggplot2 3.3.3     ✓ purrr   0.3.4
#> ✓ tibble  3.1.0     ✓ dplyr   1.0.5
#> ✓ tidyr   1.1.2     ✓ stringr 1.4.0
#> ✓ readr   1.4.0     ✓ forcats 0.5.0
#> ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
#> x dplyr::filter() masks stats::filter()
#> x dplyr::lag()    masks stats::lag()

# 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 0.08075014
#> 2 2 Bananas Bananas 0.83433304
#> 3 3 Oranges Oranges 0.60076089

# Check Datatypes
sapply(test_data, FUN = class)
#>           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" 

# Read Clipboard Shortcut for Headerless Data
read_cb_hl()
#>   V1      V2      V3                 V4
#> 1  A       B       C                  D
#> 2  1  Apples  Apples 0.0807501375675201
#> 3  2 Bananas Bananas  0.834333037259057
#> 4  3 Oranges Oranges  0.600760886212811

# Read Clipboard as a Tribble for Copy and Paste
read_cb_trbl()
#> tibble::tribble(,
#> ~A,~B,~C,~D,
#> 1, "Apples", "Apples", 0.0807501375675201,
#> 2, "Bananas", "Bananas", 0.834333037259057,
#> 3, "Oranges", "Oranges", 0.600760886212811,
#> )
read_cb_trbl(header = FALSE)
#> tibble::tribble(,
#> ~V1,~V2,~V3,~V4,
#> "A", "B", "C", "D",
#> "1", "Apples", "Apples", "0.0807501375675201",
#> "2", "Bananas", "Bananas", "0.834333037259057",
#> "3", "Oranges", "Oranges", "0.600760886212811",
#> )
read_cb_trbl(quote = "'")
#> tibble::tribble(,
#> ~A,~B,~C,~D,
#> 1, 'Apples', 'Apples', 0.0807501375675201,
#> 2, 'Bananas', 'Bananas', 0.834333037259057,
#> 3, 'Oranges', 'Oranges', 0.600760886212811,
#> )
read_cb_trbl(header = FALSE, quote = "'")
#> tibble::tribble(,
#> ~V1,~V2,~V3,~V4,
#> 'A', 'B', 'C', 'D',
#> '1', 'Apples', 'Apples', '0.0807501375675201',
#> '2', 'Bananas', 'Bananas', '0.834333037259057',
#> '3', 'Oranges', 'Oranges', '0.600760886212811',
#> )