Read files stored in dryad or find their download URLs.

Read files stored in dryad or find their download URLs.

dryad_list_csv(doi, regexp = "[.]csv$", invert = FALSE,
  ignore.case = TRUE)

dryad_select_url(dryad_url, regexp = NULL, invert = FALSE,
  ignore.case = TRUE)

Arguments

doi	A character string giving a valid dryad doi, such as "'10.5061/dryad.6nc8c'".
regexp	A regular expression (e.g. [.]csv$) passed on to grep() to filter paths.
invert	If TRUE return files which do not match
ignore.case	if FALSE, the pattern matching is case sensitive and if TRUE, case is ignored during matching.
dryad_url	A character string. The output of rdryad::dryad_files().

Value

When run interactively, both functions ask you to select files.

• dryad_list_csv() outputs a list with the selected files.

• dryad_select_url() outputs a character string giving the download URLs of the selected files.

Examples

scbi_functional_ecology_2015 <- '10.5061/dryad.6nc8c'

# Help find a relevant url
dryad_select_url(
  rdryad::dryad_files(scbi_functional_ecology_2015)
)
#> Selecting only one file. To select more run interactively.
#> [1] "http://datadryad.org/bitstream/handle/10255/dryad.86296/SCBI_annual_growth.csv?sequence=1"

# Shortcut to download and read multiple .csv files at once
dryad_list_csv(scbi_functional_ecology_2015)
#> Selecting only one file. To select more run interactively.
#> Parsed with column specification:
#> cols(
#>   .default = col_double()
#> )
#> See spec(...) for full column specifications.
#> $SCBI_annual_growth.csv
#> # A tibble: 50 x 34
#>    DBH.min.mm DBH.max.mm all.sp.n.stems all.sp.mean.ann… acru.n.stems
#>         <dbl>      <dbl>          <dbl>            <dbl>        <dbl>
#>  1       10.1       11.1            156             0.09            1
#>  2       11.1       12.3            506             0.21            1
#>  3       12.3       13.6            807             0.34            2
#>  4       13.6       15             1072             0.5             0
#>  5       15         16.6           1458             0.64            2
#>  6       16.6       18.4           1552             0.84            2
#>  7       18.4       20.3           1487             1.01            1
#>  8       20.3       22.4           1589             1.22            2
#>  9       22.4       24.8           1519             1.36            2
#> 10       24.8       27.4           1327             1.53            2
#> # … with 40 more rows, and 29 more variables: acru.annual.growth <dbl>,
#> #   caco.n.stems <dbl>, caco.annual.growth <dbl>, cagl.n.stems <dbl>,
#> #   cagl.annual.growth <dbl>, caovl.n.stems <dbl>, caovl.annual.growth <dbl>,
#> #   cato.n.stems <dbl>, cato.annual.growth <dbl>, fagr.n.stems <dbl>,
#> #   fagr.annual.growth <dbl>, fram.n.stems <dbl>, fram.annual.growth <dbl>,
#> #   juni.n.stems <dbl>, juni.annual.growth <dbl>, litu.n.stems <dbl>,
#> #   litu.annual.growth <dbl>, nysy.n.stems <dbl>, nysy.annual.growth <dbl>,
#> #   qual.n.stems <dbl>, qual.annual.growth <dbl>, qupr.n.stems <dbl>,
#> #   qupr.annual.growth <dbl>, quru.n.stems <dbl>, quru.annual.growth <dbl>,
#> #   quve.n.stems <dbl>, quve.annual.growth <dbl>, ulru.n.stems <dbl>,
#> #   ulru.annual.growth <dbl>
#>