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Returns what print(x) would output on the console – if collapse is set to anything other than NULL, as a character scalar (i.e. a string), otherwise as a character vector of output lines.

Usage

capture_print(x, collapse = NULL)

Arguments

x

R object of which the output of print() is to be captured.

collapse

Optional string for concatenating the results. If NULL, a character vector of print lines is returned.

Value

A character vector if collapse = NULL, otherwise a character scalar.

Details

This is a simple convenience wrapper around utils::capture.output(). Note that ANSI escape sequences (e.g. as output by the print() methods of tidyverse packages) are included in the result. To remove them, use cli::ansi_strip().

Examples

mtcars |> pal::capture_print()
#>  [1] "                     mpg cyl  disp  hp drat    wt  qsec vs am gear carb" "Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4"
#>  [3] "Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4" "Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1"
#>  [5] "Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1" "Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2"
#>  [7] "Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1" "Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4"
#>  [9] "Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2" "Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2"
#> [11] "Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4" "Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4"
#> [13] "Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3" "Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3"
#> [15] "Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3" "Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4"
#> [17] "Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4" "Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4"
#> [19] "Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1" "Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2"
#> [21] "Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1" "Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1"
#> [23] "Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2" "AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2"
#> [25] "Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4" "Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2"
#> [27] "Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1" "Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2"
#> [29] "Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2" "Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4"
#> [31] "Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6" "Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8"
#> [33] "Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2"
mtcars |> pal::capture_print(collapse = "\n") |> cat()
#>                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
#> Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
#> Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
#> Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
#> Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
#> Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
#> Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
#> Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
#> Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
#> Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2
#> Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4
#> Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4
#> Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3
#> Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3
#> Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3
#> Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4
#> Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4
#> Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4
#> Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1
#> Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2
#> Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1
#> Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1
#> Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2
#> AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2
#> Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4
#> Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2
#> Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1
#> Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2
#> Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2
#> Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4
#> Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6
#> Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8
#> Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2

# to strip ANSI escape sequences, use `cli::ansi_strip()`
airquality |> tibble::as_tibble()
#> # A tibble: 153 × 6
#>    Ozone Solar.R  Wind  Temp Month   Day
#>    <int>   <int> <dbl> <int> <int> <int>
#>  1    41     190   7.4    67     5     1
#>  2    36     118   8      72     5     2
#>  3    12     149  12.6    74     5     3
#>  4    18     313  11.5    62     5     4
#>  5    NA      NA  14.3    56     5     5
#>  6    28      NA  14.9    66     5     6
#>  7    23     299   8.6    65     5     7
#>  8    19      99  13.8    59     5     8
#>  9     8      19  20.1    61     5     9
#> 10    NA     194   8.6    69     5    10
#> # ℹ 143 more rows

airquality |>
  tibble::as_tibble() |>
  pal::capture_print(collapse = "\n") |>
  cli::ansi_strip() |>
  cat()
#> # A tibble: 153 × 6
#>    Ozone Solar.R  Wind  Temp Month   Day
#>    <int>   <int> <dbl> <int> <int> <int>
#>  1    41     190   7.4    67     5     1
#>  2    36     118   8      72     5     2
#>  3    12     149  12.6    74     5     3
#>  4    18     313  11.5    62     5     4
#>  5    NA      NA  14.3    56     5     5
#>  6    28      NA  14.9    66     5     6
#>  7    23     299   8.6    65     5     7
#>  8    19      99  13.8    59     5     8
#>  9     8      19  20.1    61     5     9
#> 10    NA     194   8.6    69     5    10
#> # ℹ 143 more rows