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...oblem, for example by running: > v1 <- seq(1,2^29) > v2 <- seq(1,2^29) > v3 <- seq(1,2^29) > v4 <- seq(1,2^29) This yields an R process, consuming about 8 Gb of RAM: PID PGRP USERNAME PRI SIZE RES STATE TIME WCPU% CPU% COMMAND 177484 177484 mirjam 20 8225M 8217M sleep 1:18 29.3 0.00 R After upgrading from R 2.0.0 to R 2.2.1, we cannot allocate more than about 1300 M of memory, as shown below: > v1 <- seq(1,2^29) Error: cannot allocate vector of size 2097152 Kb > v1 <- seq(1,2^28) > v2 <- seq(1,2^27) Error:...

...ow can I overlay the two set of boxplots (preferably in different colors), so that I can compare them one by one, meaning two boxplots corresponding to the same character in "Strain" are directly above each other? I have tried a lot of things and would greatly appreciate your help. Best, Mirjam [[alternative HTML version deleted]]

...t additional criteria. So sum this up, my questions are= * Are there any tips as to not have this duplication ? (so I can drop the additonal criteria and the final amount of cases, probably, increases). * Or are there any tips as to figure out where in these steps cases are lost ? Thanks! Mirjam [[alternative HTML version deleted]]

...k with a little modification. Alternatively make a couple of small fake data sets and play with those. Once you have the code correct there should be no problem expanding to the real data. Tim -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Deelen, M. (Mirjam) via R-help Sent: Wednesday, May 7, 2025 2:54 AM To: r-help at r-project.org Subject: [R] Help merging large datasets in R [External Email] Hi guys, For my MSc. thesis i am using R studio. The goal is for me to merge a couple (6) of relatively large datasets (min of 200.000 and max of 2mil rows)....

...fication. Alternatively make a couple of small fake data sets and play with those. Once you have the code correct there should be no problem expanding to the real data. > >Tim > >-----Original Message----- >From: R-help <r-help-bounces at r-project.org> On Behalf Of Deelen, M. (Mirjam) via R-help >Sent: Wednesday, May 7, 2025 2:54 AM >To: r-help at r-project.org >Subject: [R] Help merging large datasets in R > >[External Email] > >Hi guys, >For my MSc. thesis i am using R studio. The goal is for me to merge a couple (6) of relatively large datasets (min o...

...: > > v1 <- seq(1,2^29) > > v2 <- seq(1,2^29) > > v3 <- seq(1,2^29) > > v4 <- seq(1,2^29) > This yields an R process, consuming about 8 Gb of RAM: > PID PGRP USERNAME PRI SIZE RES STATE TIME WCPU% CPU% COMMAND > 177484 177484 mirjam 20 8225M 8217M sleep 1:18 29.3 0.00 R > > After upgrading from R 2.0.0 to R 2.2.1, we cannot allocate more than > about 1300 M of memory, as shown below: > > v1 <- seq(1,2^29) > Error: cannot allocate vector of size 2097152 Kb > > v1 <- seq(1,2^28) > >...