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.

hdd version 0.1.2

Bug fixes

• fix major bug in [.hdd preventing this function to be used in nested environments

Improvements

• changing the default for the argument replace: it becomes TRUE in all functions using it (previously it was FALSE)

• argument newfile becomes destDir, retro compatibility is ensured

• in argument destDir, the parent and grand-parent directories are now automatically created if they are missing

• add progress bar to txt2hdd and hdd_slice

Other changes

• use data.table as imports and not as depends

• rewrite of the documentation

• improve arguments checking

hdd version 0.1.1 (2023-08-22)

User visible changes

• txt2hdd: argument path now accepts vectors and even patterns. All files matching the pattern will be imported to the hdd format.
• txt2hdd: gains the arguments encoding and locale.
• txt2hdd: messages are more informative, in particular import time is reported.

Minor bug fixes

• Fixed a small bug in the function guess_col_types when the data contained dates.

Other

• update the maintainer’s email address

hdd version 0.1.0 (06-11-2019)

First version

• This package is an effort to provide a simple way to deal with out of memory data sets within R. The tasks does is to import and perfom simple manipulations: like subsetting, creating new variables, etc.
• As in other data base management systems (DBMS), the data is split into several chunks that fit in memory, and operations are performed “chunk-wise”. These operations are hidden to the user.
• Why creating this package? First, it avoids having to switch to alternative software like DBMS to deal with out of memory data sets (you can also use DBMS in R but it is cumbersome). Second, it allows the user to use the full power of R to create complex new variables. Finally, and maybe most importantly, the syntax is very simple and requires little effort from the user.

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.