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#rstats

135 posts125 participants8 posts today
Public
rOpenSci

🚀La galería de proyectos del programa de Campeon(a|e)s es muy diversa y muestra la posibilidad de desarrollar ideas que colaboren a la ciencia abierta y reproducible.

📦Por ejemplo, el paquete {agroclimatico} por @paocorrales que incluye una serie de funciones para calcular índices y estadísticos climáticos e hidrológicos, algunos de ellos enfocados al sector agropecuario: docs.ropensci.org/agroclimatic

Aplica aqui: champions-program.ropensci.org

docs.ropensci.orgÍndices y Estadísticos Climáticos e HidrológicosConjunto de funciones para calcular índices y estadísticos climáticos hidrológicos a partir de datos tidy. Incluye una función para graficar resultados georeferenciados y e información cartográfica.
#RStats#DatosAbiertos#CienciaAbierta
Public
Dan Oehm

A good #Rstats tip is to add 𝚘𝚙𝚝𝚒𝚘𝚗𝚜( 𝚝𝚒𝚋𝚋𝚕𝚎.𝚙𝚛𝚒𝚗𝚝_𝚖𝚊𝚡 = 𝟹0, 𝚝𝚒𝚋𝚋𝚕𝚎.𝚙𝚛𝚒𝚗𝚝_𝚖𝚒𝚗 = 𝟹0 ) to your Rprofile file to output 30 rows of a tibble by default rather than 10 (or replace 30 with whatever number works for you)

Bluesky SocialBluesky
Public
Michael Friendly

#dataviz #rstats
A new release, v. 1.7.4 of my {heplots} pkg just dropped to CRAN. It features a new utility `noteworthy(x,y,method)` to identify
unusual points in a 2D plot, by a variety of criteria. Working on a `stat_noteworthy()` to bring this to #ggplot,
labeling those points.
friendly.github.io/heplots/

friendly.github.ioVisualizing Hypothesis Tests in Multivariate Linear ModelsProvides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models such as robust methods and homogeneity of variance covariance matrices. The related candisc package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Public
Christos Argyropoulos MD, PhD

Breaking data.table in #rstats.
This was noticed by our brilliant data analyst Hamza Mir, when analyzing a 10 #gigarow #EMR dataset. #fread will assign a name to each row, i.e. the row number. If the number of lines exceeds 2^31, then a long vector of names has to be generated and R does not support those apparently (yet).
Reproducible example (#Perl code to generate a very large dataset on left, and #rstats output with failure).
ALT-text for code.
See also stackoverflow.com/questions/76

#!/usr/bin/perl # save as 'create_data.pl' and then run as # ./create-data.pl test.txt 1 2147483648 use strict; use warnings; # Check for the correct number of arguments if (@ARGV != 3) { die "Usage: $0 <output_file> <num_columns> <num_rows>\n"; } my ($output_file, $num_columns, $num_rows) = @ARGV; # Open the output file for writing open my $fh, '>', $output_file or die "Cannot open file '$output_file': $!\n"; # Write the header row print $fh join(",", map { "Column$_" } 1 .. $num_columns) . "\n"; # Write the data rows for my $row (1 .. $num_rows) { print $fh join(",", map { "${row}_$_" } 1 .. $num_columns) . "\n"; } # Close the file handle close $fh or die "Cannot close file '$output_file': $!\n"; print "File '$output_file' created successfully.\n";
The R code library(data.table) dat<-fread("test.txt") Warning message: In setattr(ans, "row.names", .set_row_names(nr)) : NAs introduced by coercion to integer range > head(dat) Error in dim.data.table(x) : long vectors not supported yet: ../../src/include/Rinlinedfuns.h:537
Public
Chris Black

Hey #RStats, what's the current wisdom on keywords in package DESCRIPTIONs? WRE mentions Classification/[ACM|JEL|MSC], but these seem rarely used (at least in my library; I’m too lazy to search all of CRAN). Is it “X-schema.org-keywords or gtfo” now?

Public
Luke Pembleton

Anyone have any experience using #AWS workspaces or VNC as a #rstats or #bioinformatics dev environment. I much prefer the idea of keeping dev on a local laptop and avoiding potential latency issues, keeping a single file system, and the ability to work on the go even without internet, but would be interested to hear others experiences.

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