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  • long bigint decimal equivalent datatype in R - Stack Overflow
    I understood your question a little differently vs the two who posted before i did If R's largest default value is not big enough for you, you have a few choices (disclaimer: I have used each of the libraries i mention below, but not through the R bindings, instead through other language bindings or the native library)
  • r - Preserving large numbers - Stack Overflow
    It's not in a "1 67E+12 format", it just won't print entirely using the defaults R is reading it in just fine and the whole number is there x <- 1665535004661 > x [1] 1 665535e+12 > print(x, digits = 16) [1] 1665535004661 See, the numbers were there all along They don't get lost unless you have a really large number of digits
  • r - Best practices for storing and using data frames too large for . . .
    bigmemory for out-of-R-memory but still in RAM (or file-backed) use (can only do matrices; same data type) biglm for out-of-memory model fitting with lm() and glm()-style models and also see the High-Performance Computing task view
  • Efficient alternatives to merge for larger data. frames R
    I am looking for an efficient (both computer resource wise and learning implementation wise) method to merge two larger (size>1 million 300 KB RData file) data frames "merge" in base R and "jo
  • R symbol for the set of real numbers in Microsoft Equation 3. 0
    In the MS Equation environment select the style of object as "Other" (Style Other) And then choose the font „Euclid Math Two“ It works only for the big letters, so SHIFT+R gives the wished ℝ symbol It also allows to produce double struck ℂ, ℚ, etc I found the answer by myself and met many others who were searching for it
  • Big R - Handguns and Ammunition Forum
    Big R here in Wabash is retiring some of their less-popular defensive ammo The price for 45acp 230 grain Gold Dot is now at $18 20! I'm not sure why they weren't selling well, unless it has to do with the local economy I go in there often to buy powder or primers, and try to make it a point to buy a box whenever I'm there
  • Order numbers from smallest to largest in a column (R)
    I would like to order numbers in column Rn from the smallest to the highest in my data frame df Rn A B 999 999 -0 0041211884 1 525399e-02 998 998 -0 0029667159 -1 210880e-02 997 997 -0 0021222138 -8 990619e-04 996 996 -0 0034225292 6 550007e-03 995 995 -0 0022323718 4 861625e-03 734 734 -0 0031919646 0 0183762923 733 733 -0 0041087604 0 0142102064 732 732 -0 0026854019 0 0133951684 731 731
  • Append Insert Data Into BigQuery Table Using Rs bigrquery Library
    Here, players_df is a dataframe of player statistics already computed in R The following code works successfully, creating a new table The following code works successfully, creating a new table However, if I have more players that I'd like to append to the table, I am struggling
  • Work on data that larger than physical RAM in R using bigmemory?
    I am developing an R package called biglasso that fits lasso models in R for massive data sets by using memory-mapping techniques implemented in bigmemory C++ library Specifically, for a very large dataset (say 10GB), a file-backed big matrix is first created with memory-mapped files stored on disk
  • Saving a VERY large R dataframe reasonably fast [duplicate]
    I have a very large R dataframe (10G+, 100mil+ rows) as a result of tokenizing an already large text dataset When I tried to save the df using saveRDS: saveRDS(dfname, file='dfname rds', compress=F) (setting compress=F, hoping that somehow saves a bit of time) it takes many hours and the saving is still not complete





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