R tutorial
Make sure you are logged out.
- Hit
CTRL+ALT+F1and login using your credentials. - kill your current X server session by typing
sudo service lightdm stoporsudo lightdm stop - Enter runlevel 3 by typing
sudo init 3and install your *.run file. - You might be required to reboot when the installation finishes. If not, run
sudo service lightdm startorsudo start lightdmto start your X server again. - http://askubuntu.com/questions/149206/how-to-install-nvidia-run
You can also use
You just need to install gdebi (
gdebi, a tool similar to dpkg that also resolves any dependencies needed for the package to work.You just need to install gdebi (
sudo apt-get install gdebi), and then run:sudo gdebi /PATH/TO/PACKAGE.deb
Installing Rpud on Ubuntu 14.04
Installing CUDA Toolkit 7.5 on Ubuntu 14.04 Linux
machine learning and TensorFlow.
Install TensorFlow from Source on Ubuntu 16.04
Deep Learning in R
Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks
DEEP LEARNING FOR IMAGE CLASSIFICATION
List of available deep learning methods across the R packages.
Deep Learning at Stanford
Neural Networks with R – A Simple ExampleDeep Learning Tutorial
THE MNIST DATABASE - Yann LeCun's Home Page
R Package Deepnet: Training and Testing the MNIST dataset
Package deepnet
Var1 <- c(rnorm(50, 1, 0.5), rnorm(50, -0.6, 0.2))
Var2 <- c(rnorm(50, -0.8, 0.2), rnorm(50, 2, 1))
x <- matrix(c(Var1, Var2), nrow = 100, ncol = 2)
y <- c(rep(1, 50), rep(0, 50))
nn <- nn.train(x, y, hidden = c(5))
## predict by nn
test_Var1 <- c(rnorm(50, 1, 0.5), rnorm(50, -0.6, 0.2))
test_Var2 <- c(rnorm(50, -0.8, 0.2), rnorm(50, 2, 1))
test_x <- matrix(c(test_Var1, test_Var2), nrow = 100, ncol = 2)
yy <- nn.predict(nn, test_x)
GPU Computing with R
進入R 裝套件 執行
install.packages()
再R執行 source('so.R') R CMD BATCH so.R http://www.r-tutor.com/ 下載 RPUX How do I install an R package from source?
解壓：tar zxvf FileName.tar.gz
$ R CMD INSTALL rpud_0.6.1.tgz
$ R CMD INSTALL rpudplus_0.6.1.tgz
$ R CMD INSTALL rpudplus_0.6.1.tgz
https://mirrors.tuna.tsinghua.edu.cn/CRAN/
sudo apt-get update
sudo apt-get install r-base https://www.rstudio.com/products/rstudio/download-server/ $ sudo apt-get install gdebi-core
$ wget https://download2.rstudio.org/rstudio-server-1.0.136-i386.deb
$ sudo gdebi rstudio-server-1.0.136-i386.deb Download R 3.2.3 for Windows
Example R programs and commands 25. How to install a contributed R package:
Download File from the Internet
download.file
利率匯率/歷史營業時間牌告匯率
Download File from the Internet
download.file
利率匯率/歷史營業時間牌告匯率
#______Download And Run Code ______#
URL <- "http://rfunction.com/code/1202/120222.R"
destfile <- "downloaded/120222.R"
#setting working directories
setwd("C:/Users/user/Desktop/test_R/")
download.file(URL, destfile)
source(destfile)
ls()
R语言初学指南（笔记）
使用R
我才知道Ｒ有那麼方便的包，喜歡死了。
Ｒ起碼有兩個包可以方便獲取全球範圍內的股票資料：
quantmod
tseries
我更喜歡後者：data_ts<-get.hist.quote(instrument='601398.ss',start='2008-05-10',end='2010-03-20')
但quantmod的作圖比較猛。
Examples
con <- url("http://quote.yahoo.com")
if(!inherits(try(open(con), silent = TRUE), "try-error")) {
close(con)
x <- tseries::get.hist.quote(instrument = "^gspc", start = "1998-01-01",
quote = "Close")
plot(x)
x <- tseries::get.hist.quote(instrument = "ibm", quote = c("Cl", "Vol"))
plot(x, main = "International Business Machines Corp")
spc <- tseries::get.hist.quote(instrument = "^gspc", start = "1998-01-01",
quote = "Close")
ibm <- tseries::get.hist.quote(instrument = "ibm", start = "1998-01-01",
quote = "AdjClose")
require("zoo") # For merge() method.
x <- merge(spc, ibm)
plot(x, main = "IBM vs S&P 500")
}
con <- url("http://www.oanda.com")
if(!inherits(try(open(con), silent = TRUE), "try-error")) {
close(con)
x <- tseries::get.hist.quote(instrument = "EUR/USD", provider = "oanda",
start = Sys.Date() - 500)
plot(x, main = "EUR/USD")
}
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