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| library(rvest) | |
| library(ggplot2) | |
| library(ggthemes) | |
| library(MASS) | |
| library(splines) | |
| treas.html <- html("http://www.treasury.gov/resource-center/data-chart-center/interest-rates/Pages/TextView.aspx?data=yield") | |
| yield.data <- treas.html %>% | |
| html_nodes("table") %>% | |
| .[[67]] %>% |
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| library(rvest) | |
| library(ggvis) | |
| wiki.prison <- html("http://en.wikipedia.org/wiki/List_of_countries_by_incarceration_rate") | |
| wiki.prison.data <- wiki.prison %>% | |
| html_nodes("table") %>% | |
| html_nodes("table") %>% | |
| .[[2]] %>% | |
| html_table(fill = TRUE) |
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| library(foreign) | |
| library(dplyr) | |
| library(ggplot2) | |
| success <- read.dta("ALP_MS118_2016_03_13_06_51_42.dta") | |
| scpc2010 <- read.dta("SCPC2010.dta") | |
| scpc2010.adopt <- scpc2010[ , c("prim_key", "cc_adopt", "cc_sh")] | |
| success.locus <- success[ , c("ms118_prim_key", "ms118_lc1")] |
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| # http://stackoverflow.com/questions/6491532/how-to-subset-a-file-select-a-numbers-of-rows-or-columns | |
| cat largefile | awk 'NR >= 10000 && NR <= 100000 { print }' |
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| awk 'NR%20==1 { file = FILENAME "_" sprintf("%04d", NR+19) } { print > file }' domains.xml |
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| * Two-sample comparison of mean1 to mean2. Compute sample sizes with n2/n1 = 2: | |
| sampsi 132.86 127.44, p(0.8) r(2) sd1(15.34) sd2(18.23) | |
| power twomeans 132.86 127.44, p(0.8) nratio(2) sd1(15.34) sd2(18.23) |
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| '%==%' <- function(a, b) { | |
| equality.test <- (a == b) | |
| equality.test[is.na(a) & is.na(b)] <- TRUE | |
| equality.test[is.na(equality.test)] <- FALSE | |
| return(equality.test) | |
| } |
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| { | |
| "always_show_minimap_viewport": true, | |
| "bold_folder_labels": true, | |
| "caret_extra_bottom": 1, | |
| "caret_extra_top": 1, | |
| "caret_extra_width": 1, | |
| "caret_style": "blink", | |
| "color_scheme": "Packages/Material Theme/schemes/Material-Theme-Darker.tmTheme", | |
| "fade_fold_buttons": false, | |
| "font_face": "Source Code Pro", |
vikjam
/ regress-vs-randomforest.r
Created
August 9, 2016 15:27
Example of regression versus random forest predictions from StackExchange
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| # http://stats.stackexchange.com/questions/66757/random-forest-vs-regression | |
| beta <- runif(5) | |
| x <- matrix(rnorm(500), nc=5) | |
| y <- drop(x %*% beta) | |
| dat <- data.frame(y=y, x1=x[,1], x2=x[,2], x3=x[,3], x4=x[,4], x5=x[,5]) | |
| model1 <- lm(y~., data=dat) | |
| model2 <- randomForest(y ~., data=dat) | |
| pred1 <- predict(model1 ,dat) | |
| pred2 <- predict(model2 ,dat) |
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| # Install ffmpeg with the right codec | |
| brew install ffmpeg --with-fdk-aac | |
| # Actual loop | |
| for i in *flac;do of="${i/.flac/.m4a}"; ffmpeg -i "${i}" -c:a libfdk_aac -b:a 320k "${of}";done | |