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Econometric Theory (I)
A Quick
Introduction to R
Yen, Chia-Yi
NTU
Sep 18, 2014
TA info
顏嘉儀
經研所碩二
研究大樓209 研究室
yen.chiayi@gmail.com
r01323019@ntu.edu.tw
#R user : Taiwan R user group
Installatioan
Having trouble?
http://homepage.ntu.edu.tw/~ckuan/courses.html
(prof. Chung-Ming Kuan ‘s website)
optional, ...
a FREE
software environment
for statistical computing and graphics
Ris ….
Why R
Data Science is Hot !
最多人使用的統計語言
最多人用它分析資料
# 矩陣運算
# 統計分析
# 與C++對接容易
Software used in data analysis competitions in 2011.
source :http://r4stats.com/articles/popularity/
http://blog.revolutio...
Why R:demo
source: http://www.rstudio.com/shiny/
Why R: demo
Why R:demo
R Engine
Rstudio
script mode
Help &
Graphics
Debug
Interactive mode
a quick look at R
Expression
Variable (變數)
Function (函式)
Module (模組)
Package (套件)
calculation
numeric, string, boolean
vec...
Let’s Demo !
Open "0918_firstR.R” in Rstudio.
What’s the difference between...
Interactive mode
v.s.
Script mode
Expression
# 其實很像計算機...
# 回傳 TRUE 或 FALSE
# R code
1+1
(1+1)^4
((1+1)^4-2)%%3
sin(((1+1)^4-2)%%3)
# R code
2<3
2==3
2!=3
data
Variable 變數
like a
container
that stores
# 注意: "=" & "==" 功能不同
# "=":給值 (assign)
# "==": 相等於 (equal to)
numeric
strin...
data
Variable 變數
like a
container
that stores
vector
matrix
data.frame
etc.
vec mat
Variable 變數
1
2
3
4
# R code
# vector
a = c(1,2,3,4) # numeric vector 數值向量
b = c("1", "2", "3","4") # string vector 字串向量
c...
Function 函式
like a collection of computation
也就是說, 把一堆運算包起來
do some computation
a function:length
[1,2,3,4] 4
return
# R c...
Function 函式
do some computation
function: mean
[1,2,3,4] 2.5
return
output
Built-in
self-defined
(package)
# Built-in
data...
Module 模組
like a collection of function
[example] data_preprocess.R
Package 套件
you can expand your
built-in function
by installing a packages
like a collection of module
Package 套件
how to use PACKAGES ?
# R code
x = 1:10 # 設定x軸
y = sin(3*x) # 設定y軸
plot(x,y) # 原本R預設的畫圖函式
# 為了畫比較漂亮的圖....
insta...
別忘了你的好朋友...
Help & Google
# R code
help(mean)
?mean
example(mean)
Flow Control
#1 if
if (expression){
statement
}
# R code
data = rnorm(100) #從標準常態分配中抽
100個樣本點
mu = mean(data)
mu > 0
if ( ...
Flow Control
#2 while
while (expression){
statement
}
# R code
for ( i in 1:3){
data = rnorm(i)
print(data)
}
只要偵測到TRUE,
執...
Flow Control
#3 For
For( i in 1: 3){
statement (i)
}
# R code
data = rnorm(100) #從標準常態分配中抽
100個樣本點
mu = mean(data)
mu > 0
...
Homework (optional)
Code School http://tryr.codeschool.com
DataMind http://www.datamind.org/#/
Thanks for your listening :)
Appendix: object(物件)
所有的物件(objects)都有兩種基本屬性(intrinsic
attributes): 格式(mode)與長度(length)
Appendix: operator(運算子)
Appendix: sampling (隨機抽樣)
Appendix: Most-used function(1)
Appendix: Most-used function(2)
Appendix: Basic Graphics (1)
Appendix: Basic Graphics (2)
Appendix: Low-level Graphics
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[計一] Basic r programming final0918

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Transcript of "[計一] Basic r programming final0918"

  1. 1. Econometric Theory (I) A Quick Introduction to R Yen, Chia-Yi NTU Sep 18, 2014
  2. 2. TA info 顏嘉儀 經研所碩二 研究大樓209 研究室 yen.chiayi@gmail.com r01323019@ntu.edu.tw #R user : Taiwan R user group
  3. 3. Installatioan Having trouble? http://homepage.ntu.edu.tw/~ckuan/courses.html (prof. Chung-Ming Kuan ‘s website) optional, but believe me it’s super charming! R Engine http://cran.rstudio.com/ R IDE: Rstudio http://www.rstudio.com/ide/download/desktop
  4. 4. a FREE software environment for statistical computing and graphics Ris ….
  5. 5. Why R Data Science is Hot ! 最多人使用的統計語言 最多人用它分析資料 # 矩陣運算 # 統計分析 # 與C++對接容易
  6. 6. Software used in data analysis competitions in 2011. source :http://r4stats.com/articles/popularity/ http://blog.revolutionanalytics.com/2012/08/r-language- popularity-for-data-mining.html
  7. 7. Why R:demo source: http://www.rstudio.com/shiny/
  8. 8. Why R: demo
  9. 9. Why R:demo
  10. 10. R Engine
  11. 11. Rstudio script mode Help & Graphics Debug Interactive mode
  12. 12. a quick look at R Expression Variable (變數) Function (函式) Module (模組) Package (套件) calculation numeric, string, boolean vector,matrix, data.frame built-in, package, self-defined # Input / Output (I/O) # Linear Algebra # Regression
  13. 13. Let’s Demo ! Open "0918_firstR.R” in Rstudio. What’s the difference between... Interactive mode v.s. Script mode
  14. 14. Expression # 其實很像計算機... # 回傳 TRUE 或 FALSE # R code 1+1 (1+1)^4 ((1+1)^4-2)%%3 sin(((1+1)^4-2)%%3) # R code 2<3 2==3 2!=3
  15. 15. data Variable 變數 like a container that stores # 注意: "=" & "==" 功能不同 # "=":給值 (assign) # "==": 相等於 (equal to) numeric string boolean # R code x = 3 # numeric 數值 x = "Hi, Everyone ~~" # string 字串 x = 'Hi, Everyone ~~' # 一定要有引號. x = TRUE # boolean 布林值 x = T # 一定要大寫 x = 2<3
  16. 16. data Variable 變數 like a container that stores vector matrix data.frame etc. vec mat
  17. 17. Variable 變數 1 2 3 4 # R code # vector a = c(1,2,3,4) # numeric vector 數值向量 b = c("1", "2", "3","4") # string vector 字串向量 c = c( T, F, T, T) # boolean vector 布林向量 # matrix d = matrix(a, nrow=2, ncol=2) dim(a) = c(2,2) # data.frame e = data.frame(string = b, booling = c) #it can store different type data 1 3 2 4 “1” T “2” F “3” T “4” F numeric vector numeric matrix data.frame
  18. 18. Function 函式 like a collection of computation 也就是說, 把一堆運算包起來 do some computation a function:length [1,2,3,4] 4 return # R code a = c(1,2,3,4) result = length(a) result input
  19. 19. Function 函式 do some computation function: mean [1,2,3,4] 2.5 return output Built-in self-defined (package) # Built-in data = 1:4 output= mean(data) data # Self-defined MyMean = function(data){ total = sum(data) len = length(data) result = total / len return(result) } data = 1:4 output = MyMean(data) input
  20. 20. Module 模組 like a collection of function [example] data_preprocess.R
  21. 21. Package 套件 you can expand your built-in function by installing a packages like a collection of module
  22. 22. Package 套件 how to use PACKAGES ? # R code x = 1:10 # 設定x軸 y = sin(3*x) # 設定y軸 plot(x,y) # 原本R預設的畫圖函式 # 為了畫比較漂亮的圖.... install.packages(“ggplot2”) # 將 ggplot2這個套件從官網上載到本機端 #括號是必要的 library(ggplot2) # 從本機端 load 到這份程式碼裡 qplot(x,y) # 可以使用 ggplot2裡面寫好的函式 qplot了
  23. 23. 別忘了你的好朋友... Help & Google # R code help(mean) ?mean example(mean)
  24. 24. Flow Control #1 if if (expression){ statement } # R code data = rnorm(100) #從標準常態分配中抽 100個樣本點 mu = mean(data) mu > 0 if ( mu > 0 ){ print("mean is greater than 0") }else{ print("mean is less than 0") } 如果偵測到TRUE, 就執行大括弧內敘 述; 否則不執行
  25. 25. Flow Control #2 while while (expression){ statement } # R code for ( i in 1:3){ data = rnorm(i) print(data) } 只要偵測到TRUE, 執行大括弧內敘述; 否則不執行
  26. 26. Flow Control #3 For For( i in 1: 3){ statement (i) } # R code data = rnorm(100) #從標準常態分配中抽 100個樣本點 mu = mean(data) mu > 0 while (mu > 0){ print("mean is greater than 0") # mu = "tested" } # 發生無窮迴圈,試著把while內的註解打 開 當 i = 1 , 執行一次 當 i = 2 ,再執行一次 當 i = 3 ,再執行一次 結束迴圈
  27. 27. Homework (optional) Code School http://tryr.codeschool.com DataMind http://www.datamind.org/#/
  28. 28. Thanks for your listening :)
  29. 29. Appendix: object(物件) 所有的物件(objects)都有兩種基本屬性(intrinsic attributes): 格式(mode)與長度(length)
  30. 30. Appendix: operator(運算子)
  31. 31. Appendix: sampling (隨機抽樣)
  32. 32. Appendix: Most-used function(1)
  33. 33. Appendix: Most-used function(2)
  34. 34. Appendix: Basic Graphics (1)
  35. 35. Appendix: Basic Graphics (2)
  36. 36. Appendix: Low-level Graphics
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