Eduard Szöcs eduardszoecs

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

	# function to do a dodged half-boxplot and jittered points next to each other
	#
	# data_in should be a data frame
	# factor_col should be a bare column name (not a string)
	# although it will work if that column is factor or a character type
	# numeric_col is the y axis continuous variable
	# offset is the width of the boxplots and jittered point cloud
	#
	# the basic approach is to draw a boxplot without the tails
	# (e.g. only the interquartile range) and then use segments to add the

	library(shiny)
	library(httr)

	# OAuth setup --------------------------------------------------------

	# Most OAuth applications require that you redirect to a fixed and known
	# set of URLs. Many only allow you to redirect to a single URL: if this
	# is the case for, you'll need to create an app for testing with a localhost
	# url, and an app for your deployed app.

	library(shiny)
	library(shinyjs)

	if (!dir.exists('www/')) {
	dir.create('www')
	}

	download.file(
	url = 'https://cdn.jsdelivr.net/npm/js-cookie@2/src/js.cookie.min.js',
	destfile = 'www/js.cookie.js'

	library(desplot)
	library(agricolae)
	library(RColorBrewer)

	plot.RCBD.layout <- function(trt_name, num_block){

	repeticion <- rep(num_block, length(trt_name))

	RCBD <- design.rcbd(trt_name, r = repeticion, serie = 0)

	variables:
	CODECOV_TOKEN: "CODECOV_TOKEN_STRING"
	_R_CHECK_CRAN_INCOMING_: "false"
	_R_CHECK_FORCE_SUGGESTS_: "true"
	APT_PKGS: "libcurl4-openssl-dev libssh2-1-dev libssl-dev libxml2-dev zlib1g-dev git"

	before_script:
	- apt-get update
	- apt-get install -y --no-install-recommends ${APT_PKGS}
	- apt-get install -y --no-install-recommends qpdf pandoc pandoc-citeproc

	# add this line to your Dockerfile (you also need to install Rbase)
	RUN R -e 'install.packages("packrat" , repos="http://cran.us.r-project.org"); packrat::restore()'

	#I have >1000 bees to check its name, so I want to automatize taxize for
	# fixing misspellings when possible
	# updating synonims to accepted names
	# keeping ONLY accepted species (fully resolved at species level)

	# this uses taxize > 0.7.6.9157 If you are using older version (e.g. what its now on CRAN) see the history of this file.
	library(taxize)
	library(dplyr)

	#example: good, synomin, typo, unexisting, genus only.

	library(dplyr)
	library(tidyr)
	library(magrittr)
	library(ggplot2)
	"http://academic.udayton.edu/kissock/http/Weather/gsod95-current/NYNEWYOR.txt" %>%
	read.table() %>% data.frame %>% tbl_df -> data
	names(data) <- c("month", "day", "year", "temp")

	data %>%
	group_by(year, month) %>%