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# ipak function: install and load multiple R packages. | |
# check to see if packages are installed. Install them if they are not, then load them into the R session. | |
ipak <- function(pkg){ | |
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])] | |
if (length(new.pkg)) | |
install.packages(new.pkg, dependencies = TRUE) | |
sapply(pkg, require, character.only = TRUE) | |
} |
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https://docs.python.org/3/reference/index.html | |
https://docs.python.org/3/library/index.html | |
https://www.cs.put.poznan.pl/csobaniec/software/python/py-qrc.html | |
https://perso.limsi.fr/pointal/python:abrege | |
https://perso.limsi.fr/pointal/python:memento | |
https://perso.limsi.fr/pointal/_media/python:cours:abregepython.pdf | |
https://perso.limsi.fr/pointal/_media/python:cours:abregepython-english.pdf | |
https://perso.limsi.fr/pointal/_media/python:cours:mementopython3.pdf |
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# example of calculating K-medoids using the uncentered | |
# correlation metric as a measure of distance | |
# 0) load data | |
data(mtcars) | |
# 1) create a distance matrix using the "cosine of the angle" method (aka, uncentered correlation) |
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# Note: requires loading the "socsub" data frame (not a bundled R dataset) | |
# ------------------------------------------------------------------------------------ | |
# pairwise comparisons including interactions | |
# use lm model to get design matrix | |
model1 <- lm(agro.rec.tot ~ sex*ageclass + loggrpmem, offset = logtimeage, data = socsub) |
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# Function definition | |
add_event <- function(start, end = NULL, label = NULL, line = 0.5, las = 1, col = scales::alpha("steelblue", 0.5)) { | |
if(is.null(end)) { | |
end <- paste(start, "23:59:59") | |
start <- paste(start, "00:00:00") | |
} | |
start <- as.POSIXct(start) | |
end <- as.POSIXct(end) | |
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library(lme4) | |
head(sleepstudy) | |
summary(sleepstudy) | |
sapply(sleepstudy, class) | |
# Fit model using the original data: | |
d <- sleepstudy | |
d$Subject <- factor(rep(1:18, each=10)) | |
fm1 <- lmer(Reaction ~ Days + (Days|Subject), d) |
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library(sp) | |
library(maptools) | |
# get North Carolina shape data | |
NC <- readShapePoly(system.file("shapes/sids.shp", package = "maptools")[1], | |
IDvar = "FIPSNO", proj4string = CRS("+proj=longlat +ellps=clrk66")) | |
# plot polygons | |
plot(NC, border = "blue", axes = TRUE, las = 1) |
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# list with character vectors | |
text <- list(a = "all day I play @sworth with R", | |
b = "all night I play @sworth with R") | |
# extract letters after "@" in a single character vector | |
sub("^.*@(\\w+).*", "\\1", text$a) | |
# extract letters after "@" in a list of character vectors | |
gsub("^.*@(\\w+).*", "\\1", text) |
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from PIL import Image | |
from PIL.ExifTags import TAGS, GPSTAGS | |
def get_exif_data(image): | |
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags""" | |
exif_data = {} | |
info = image._getexif() | |
if info: | |
for tag, value in info.items(): | |
decoded = TAGS.get(tag, tag) |
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# =============================================================================== | |
# Name : centroid_perm | |
# Original author : Steven Worthington (sworthington@iq.harvard.edu) | |
# Affiliation : IQSS, Harvard University | |
# Date (mm/dd/yyyy) : 06/14/2012 | |
# Version : v0.8 | |
# Aim : exact permutation test for group differences | |
# =============================================================================== | |
# Goal: |
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