sboysel

[
  {
    "name": "Risha38",
    "author": "Sam Boysel"
  },
  [
    {
      "x": 2,
      "f": 5
    },

sboysel

Keybase proof

I hereby claim:

• I am sboysel on github.
• I am sboysel (https://keybase.io/sboysel) on keybase.
• I have a public key whose fingerprint is F0BB B0B8 886D 1CDB 392D E755 2E8D EF7C 3554 032D

To claim this, I am signing this object:

sboysel

#!/usr/bin/env bash
# Evan Wilde <etcwilde@uvic.ca>
# July 20, 2017

# defaults
user="postgres"
passwd=""
host="localhost"
db="ghtorrent"
tmpdir='/tmp'

sboysel

select 
       num.TagName as Tag,
       row_number() over (order by num.Num desc) as TotalRank,
       rate.Rate as QuestionsInMay,
       num.Num as QuestionsTotal

from

(select count(PostId) as Rate, TagName
from

sboysel

license: gpl-3.0
height: 650

sboysel

Notes on Econometrics in R

This note summarizes several tools for traditional econometric analysis using R. The CRAN Task View - Econometrics provides a very comprehensive overview of available econometrics packages in R. Rather the duplicate this resource, I will highlight several functions and tools that accommodate 95% of my econometric analyses.

Packages and functions

Linear Regression

• stats::lm - the standard OLS routine included in the base R package stats. The call summary(lm(y ~ x1 + x2, data = mydata)) produces output most similar to reg y x1 x2 in Stata.
• lfe - Linear Fixed Effects models. In addition to efficiently handling high-dimension fixed effects, the workhorse function felm also supports instrumental variables and clustered standard errors. As it improves lm by incorp

sboysel

library(ggplot2)
library(maptools)
library(mapproj)
library(ggthemes)
library(sp)
library(raster)
library(rgeos)
library(RColorBrewer)

# Get administrative boundaries as SpatialPolygonsDataFrame

sboysel

# TODO: (1) What if I want to keep the remote zipfile after downloading? [x]
#       (2) Other common formats: - GeoJSON                              [x]
#                                 - KML                                  [ ]
library(rgdal)

# Functions to check filenames
is_remote <- function(x) grepl("(ht|f)tp(s)?://", x)
is_zip <- function(x) grepl("\\.zip$", basename(x))
is_shp <- function(x) grepl("\\.shp$", basename(x))
is_json <- function(x) grepl("\\.(geo)?json$", basename(x))

sboysel

#' Grouped summary statistics
#'
#' Wraps \code{\link{aggregate}} to generate common summary statistics over
#' subsets.
#'
#' @param data A data.frame to be summarized.
#' @param by Grouping variables specified by a formula as used in 
#'  \code{\link{aggregate}}.
#' @param stats A character vector of statistical functions.  Default is c("n",
#'  "mean", "sd", "min", "max").  More functions can be added by modifying the 

sboysel

R Spatial Analysis Notes

Spatial Analysis in R

Key Packages

• sp - defines the set of base classes for spatial data in R. Most useful for creating, converting, merging, transforming (e.g. projection), and plotting (see spplot) Spatial* objects.
• rgdal - wrapper