search for: kchamberln

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2020 Oct 14
0
which() vs. just logical selection in df
Inline. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Oct 14, 2020 at 3:23 PM 1/k^c <kchamberln at gmail.com> wrote: Is which() invoking c-level code by chance, making it slightly faster > on average? > You do not need to ask such questions. R is open source, so just look! > which function (x, arr.ind = FALSE, useNames = TRUE) { wh <- .Internal(which(x)) ## C code...
2020 Oct 14
2
which() vs. just logical selection in df
...'s considered best practice to keep it. What is R inoking when which() isn't called explicitly? Is R invoking which() eventually anyway? Cheers! Keith > Message: 2 > Date: Mon, 12 Oct 2020 13:01:36 -0600 > From: Greg Snow <538280 at gmail.com> > To: "1/k^c" <kchamberln at gmail.com> > Cc: r-help <r-help at r-project.org> > Subject: Re: [R] which() vs. just logical selection in df > Message-ID: > <CAFEqCdyUuHh5TZ7t5NJ8cs_4xB61mNeUgasncekD485eBNRK6Q at mail.gmail.com> > Content-Type: text/plain; charset="utf-8" > &...
2020 Oct 10
1
which() vs. just logical selection in df
Hi R-helpers, Does anyone know why adding which() makes the select call more efficient than just using logical selection in a dataframe? Doesn't which() technically add another conversion/function call on top of the logical selection? Here is a reproducible example with a slight difference in timing. # Surrogate data - the timing here isn't interesting urltext <-
2010 Mar 06
3
r code to generate interaction columns
Hi, is there a way to take a dataset and extract numeric columns and create interaction columns from it automatically? For e.g. there are 5 columns of data: A,B,C,D,E. CDE are numeric. Can someone provide code to automatically create more columns such as: 1) C*D, C*E, C*D*E, (C+E)/(D+.01 (to avoid divide by zero), (D+E)/(C+.01 (to avoid divide by zero), (C+D)/(E+.01 (to avoid
2010 Feb 13
2
lm function in R
Hello, I am trying to learn how to perform Multiple Regression Analysis in R. I decided to take a simple example given in this PDF: http://www.utdallas.edu/~herve/abdi-prc-pretty.pdf I created a small CSV called, students.csv that contains the following data: s1 14 4 1 s2 23 4 2 s3 30 7 2 s4 50 7 4 s5 39 10 3 s6 67 10 6 Col headers: Student id, Memory span(Y), age(X1), speech rate(X2) Now
2010 May 05
0
R-help Digest, Vol 87, Issue 5
...raduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ------------------------------ Message: 114 Date: Tue, 4 May 2010 22:01:37 -0600 From: "kMan" <kchamberln at gmail.com> To: "'someone'" <vonhoffen at t-online.de> Cc: r-help at r-project.org Subject: Re: [R] Delete rows with duplicate field... Message-ID: <01d701caec07$aab81f40$00285dc0$@gmail.com> Content-Type: text/plain; charset="us-ascii" Dear someone, J...
2010 Apr 26
0
New rwiki page for "large scale data"
Dear list, There is a new rwiki (http://rwiki.sciviews.org) section for 'large scale data' at http://rwiki.sciviews.org/doku.php?id=large_scale_data. This is a massive topic of interest to many. I could use some help filling in the content so that this can develop into a powerful resource for the r-community. I hope you like it, and I hope you are willing to help make it better.