Free software environment for statistical computing and graphics

R for Windows 4.0.1

June, 7th 2020 - 83.65 MB - Open Source

Free Download

Security Status

Latest Version

R for Windows 4.3.3
Operating System

Windows XP / Vista / Windows 7 / Windows 8 / Windows 10
User Rating

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Author / Product

The R Foundation / External Link
Filename

R-4.0.1-win.exe
MD5 Checksum

f2a7c3e396e40f31b3677c089c27e202

Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system. Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of R for Windows 4.0.1.

For those interested in downloading the most recent release of R for Windows or reading our review, simply click here.

All old versions distributed on our website are completely virus-free and available for download at no cost.

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Download R for Windows 4.0.1

R for Windows 4.0.1 Screenshots

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What's new in this version:

New features:
- Paste() and paste0() gain a new optional argument recycle0. When set to true, zero-length arguments are recycled leading to
- character(0) after the sep-concatenation, i.e., to the empty string "" if collapse is a string and to the zero-length value character(0) when collapse = NULL
- A package whose code uses this should depend on R (>= 4.0.1). The summary() method now maps the counts correctly to the warning messages

Bug fixes:
- Aov(frml, ...) now also works where the formula deparses to morethan 500 characters, thanks to a report and patch proposal by Jan Hauffa
- Fix a dozen places (code, examples) as Sys.setlocale() returns the new rather than the previous setting
- Fix for adding two complex grid units via sum(). Thanks to Gu Zuguang for the report and Thomas Lin Pedersen for the patch
- Fix parallel::mclapply(..., mc.preschedule=FALSE) to handle raw vector results correctly
- Computing the base value, i.e., 2, "everywhere", now uses FLT_RADIX, as the original machar code looped indefinitely on the ppc64 architecture for the longdouble case
- In R 4.0.0, sort.list(x) when is.object(x) was true, e.g., for x ) was much slower than previously
- Plot(y ~ x, ylab = quote(y[i])) now works, as e.g., for xlab
- Parallel::detect.cores(all.tests = TRUE) tries a matching OS name before the other tests (which were intended only for unknown OSes)
- Parse data for raw strings is now recorded correctly