Get Homebrew installed on your mac if you don't already have it
Install highlight. "brew install highlight". (This brings down Lua and Boost as well)
Get Homebrew installed on your mac if you don't already have it
Install highlight. "brew install highlight". (This brings down Lua and Boost as well)
sudo yum upgrade | |
sudo yum install tmux | |
tmux new -s session_name |
I hereby claim:
To claim this, I am signing this object:
theme_presentation = function (base_size = 12, base_family = "") { | |
theme_minimal(base_size = base_size, base_family = base_family) %+replace% | |
theme( | |
axis.text.x = element_text(size = 15), | |
axis.text.y = element_text(size = 15), | |
title = element_text(size = 20), | |
axis.title = element_text(size = 18), | |
axis.ticks = element_blank(), | |
legend.position = 'bottom') | |
} |
// spark-shell --jars /home/otto/algebird-core_2.10-0.9.0.jar,/home/mforns/refinery-core-0.0.9.jar | |
import java.util.Date | |
import java.text.SimpleDateFormat | |
import org.wikimedia.analytics.refinery.core.PageviewDefinition | |
import org.wikimedia.analytics.refinery.core.Webrequest | |
import scala.math.pow | |
import org.apache.spark.rdd.RDD | |
import com.twitter.algebird.QTree |
multiread.delim = function(path, header = TRUE, sep = '\t') { | |
# multiread.delim is a function to read in all the files in a given directory | |
# and rbind them into one data frame. Input files need to be of the same | |
# structure. Headers will be labeled according to the headers in the first file. | |
file_names = paste(path, list.files(path), sep = '/') | |
for (file in file_names) { | |
if (!exists('combined_df')) { |
clean_headers = function(headers) { | |
# Make lowercase | |
headers = tolower(headers) | |
# Replace symbols | |
headers = gsub(' ', '', headers, fixed = TRUE) | |
headers = gsub('.', '_', headers, fixed = TRUE) | |
headers = gsub('[^[:alnum:]_]', '', headers) # remove all symbols except '_' | |
headers = gsub('__', '_', headers, fixed = TRUE) |
libs = c('arm', | |
'biglm', | |
'car', | |
'doParallel', | |
'dplyr', | |
'gclus', | |
'ggplot2', | |
'gplots', | |
'ggthemes', | |
'lpSolveAPI', |
py_dict = readLines('python_dictionary.txt') | |
# e.g. | |
#{"cat_name": "Ella", "dwell_status": "tree_dweller", "coat_color": "gray, white, orange", "is_from_hell": "Y"} | |
#{"cat_name": "Billie", "dwell_status": "bush_dweller", "coat_color": "gray, white", "is_from_hell": "N"} | |
dict_to_df = function(dict) { | |
require(plyr) | |
df = data.frame() | |
df_temp = list() |