The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Rparadox provides a simple and efficient way to read
data from Paradox database files (.db
) directly into R as
modern tibble
data frames. It uses the underlying
pxlib
C library to handle the low-level file format details
and provides a clean, user-friendly R interface.
This package is designed to “just work” for the most common use case:
extracting the full dataset from a Paradox table, including its
associated BLOB/memo file (.mb
).
.db
files without needing database drivers or external software.tibble
format, which is fully compatible with the Tidyverse
ecosystem..mb
)
files.Date
,
Time
(hms
), Timestamp
(POSIXct
), Logical
, Integer
,
Numeric
, and binary blob
objects.# stable version from CRAN
install.packages("Rparadox")
You can install the development version of Rparadox from GitHub using
the devtools
package.
# install.packages("devtools")
::install_github("celebithil/Rparadox") devtools
read_paradox()
functionThe easiest way to read a Paradox file is with the high-level
read_paradox()
function. It handles opening the file,
reading the data, and closing the connection in a single step.
# 1. Load the package
library(Rparadox)
# 2. Get the path to an example database
<- system.file("extdata", "biolife.db", package = "Rparadox")
db_path
# 3. Read the data directly into a tibble
# This automatically finds 'biolife.mb' and handles data types.
<- read_paradox(db_path)
biolife_data
# 4. View the data
print(biolife_data)
#> # A tibble: 28 × 8
#> `Species No` Category Common_Name `Species Name` `Length (cm)` Length_In
#> <dbl> <chr> <chr> <chr> <dbl> <dbl>
#> 1 90020 Triggerfish Clown Trig… Ballistoides … 50 19.7
#> 2 90030 Snapper Red Emperor Lutjanus sebae 60 23.6
#> 3 90050 Wrasse Giant Maor… Cheilinus und… 229 90.2
#> 4 90070 Angelfish Blue Angel… Pomacanthus n… 30 11.8
#> 5 90080 Cod Lunartail … Variola louti 80 31.5
#> 6 90090 Scorpionfish Firefish Pterois volit… 38 15.0
#> 7 90100 Butterflyfish Ornate But… Chaetodon Orn… 19 7.48
#> 8 90110 Shark Swell Shark Cephaloscylli… 102 40.2
#> 9 90120 Ray Bat Ray Myliobatis ca… 56 22.0
#> 10 90130 Eel California… Gymnothorax m… 150 59.1
#> # ℹ 18 more rows
#> # ℹ 2 more variables: Notes <chr>, Graphic <blob>
If you have a legacy file where the encoding is specified incorrectly
in the header, you can manually override it using the
encoding
parameter with read_paradox()
.
library(Rparadox)
# This tells the package to interpret the source data as CP866
<- read_paradox("path/to/your/file.db", encoding = "cp866") data
This ensures that all text fields are correctly converted to UTF-8 in
the final tibble
.
For more control, you can use the lower-level functions. This is useful if you want to inspect metadata before reading the full dataset.
library(Rparadox)
<- system.file("extdata", "biolife.db", package = "Rparadox")
db_path
# 1. Open the file and get a handle
<- pxlib_open_file(db_path)
pxdoc
if (!is.null(pxdoc)) {
# 2. Get metadata without reading all the data
<- pxlib_metadata(pxdoc)
metadata cat("Number of records:", metadata$num_records, "\n")
# 3. Read the actual data
<- pxlib_get_data(pxdoc)
data_table
# 4. Always close the file when you're done
pxlib_close_file(pxdoc)
}#> Number of records: 28
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.