dataURI: Create a data URI string

Description Usage Arguments Value Author(s) References Examples

Description

dataURI creates URI with the data: scheme by encoding the payload either using base64 ot URI encoding.

Usage

1
dataURI(data, mime = "", encoding = "base64", file)

Arguments

data

raw vector, connection or character vector to use as payload. Character vectors of more than one element are collapsed using "\n" before encoding.

mime

MIME-type of the data (per standard "" is interpreted as "text/plain;charset=US-ASCII" without including it in the URI)

encoding

data encoding to use. Must be either "base64" or NULL

file

filename (string) to open as payload. file and data are mutually exclusive

Value

string of the form data:[mime][;base64],<encoded-payload>

Author(s)

Simon Urbanek

References

RFC 2397 The "data" URL scheme

Examples

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  dataURI(as.raw(1:10)) # default is base64
  dataURI(as.raw(1:10), encoding=NULL) # URI
  if (require("png", quietly=TRUE)) {
    # let's say you have an image - e.g. from dev.capture(TRUE)
    img <- matrix(1:16/16, 4)
    dataURI(writePNG(img), "image/png")
    # or straight from a file
    dataURI(file=system.file("img", "Rlogo.png", package="png"), mime="image/png")
  }

Example output

[1] "data:;base64,AQIDBAUGBwgJCg=="
[1] "data:,%01%02%03%04%05%06%07%08%09%0A"
[1] "data:image/png;base64,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"

base64enc documentation built on May 2, 2019, 6:53 a.m.

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