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| egy.points <- | |
| structure(list(Latitude = c(30.0626, 30.0626, 30.0626, 25, 30.5, | |
| 30.1219, 29.0744, 31.4044, 29.9737, 30.0626, 31.4, 31.2, 29, | |
| 30.6, 28.1, 26.1642, 24.0934, 25.6989, 27, 30.0453, 30.6043, | |
| 30.6803, 30.4658, 31.2565, 30.1219, 27.7667, 31.0364, 30.0273, | |
| 31.4044, 29.7, 27.2, 26.5, 29.5, 26, 28.501, 27.9333, 30.5, 27.2574, | |
| 27, 30.2986, 30.5333, 29.7, 27.2167, 30.7885, 25.0757, 30.9, | |
| 30.7, 30.9, 24.0934, 29.9978, 31.1, 30.15, 22.3457, 25.9141, | |
| 30.6, 31.35, 26.1642, 28.3121, 26.55, 30.9251, 31.0392, 30.5, | |
| 27, 29.3, 26.0495, 31, 26.0549, 26.1247, 30.3, 26.7292, 30.0626, |
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| # | |
| # | |
| # Original code from Mike: | |
| # | |
| # | |
| # mdw attempts at modeling Protests & Demonstrations | |
| # August 13, 2013 | |
| library(wicews) |
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| library(geonames) | |
| # list of city names (in Afghanistan) | |
| cities <- c("Gereshk", "Lashkar Gah", "Marjah", "Nad-e Ali") | |
| -5L), class = "data.frame") | |
| # conveninence function to look up and format results | |
| GNsearchAF <- function(x) { | |
| res <- GNsearch(name=x, country="AF") | |
| return(res[1, ]) | |
| } |
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| CREATE TABLE afg_greg AS | |
| SELECT * | |
| FROM greg | |
| WHERE ( ST_contains((SELECT the_geom FROM afg_adm0), geom) OR | |
| ST_overlaps((SELECT the_geom FROM afg_adm0), geom) ); |
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| plotMissing <- function(data, dim1=NULL, dim2=NULL, na.id=NULL) { | |
| require(ggplot2) | |
| require(grid) | |
| # Function to plot missing values in a data frame, or to plot missing values | |
| # in a data frame representing panel data (i.e. against 2 dimensions) | |
| # Leave dim1 and dim2 NULL to plot missing values in data frame. | |
| if (xor(is.null(dim1), is.null(dim2))) stop("Specify either both or no dims.") | |
| # Set colors for possible data values | |
| myCol <- c("#DCDCDC", "#32CD32", "#CD4F39") |
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| library(XML) | |
| library(plyr) | |
| # Get and format html file | |
| duke.html <- readLines("http://www.gradeinflation.com/Duke.html") | |
| duke.doc <- htmlParse(duke.html) | |
| # Get table as data frame | |
| duke <- readHTMLTable(duke.doc, header=F, as.data.frame=F) | |
| duke <- data.frame(duke, stringsAsFactors=F) |
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