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# Reference:
# http://stackoverflow.com/questions/4862178/remove-rows-with-nas-in-data-frame

# example from ?na.omit, changed.

# use complete.cases to get a bool vector of cases without missing data.
DF <- data.frame(x = c(1, 2, 3), y = c(0, 10, NA), z = c(NA, 10, 6))
DF[complete.cases(DF), ]

# this can be used to choose specific columns of interests

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#NoTrayIcon

PythonDir = %A_ScriptDir%\..\python\App
MeldDir   = %A_ScriptDir%

params := ""

firstParam := true
Loop, %0%
{

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**************************************
* Stata profile.do
**************************************

if "`c(os)'" == "Windows" {
    sysdir set PLUS "`c(sysdir_stata)'ado/plus"
    sysdir set PERSONAL "C:/Users/`c(username)'/stata/ado"
}
else {
    sysdir set PLUS "~/stata/ado/puls"

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#  3.5
setwd("D:/")
a = read.table("m-intc7308.txt", head = T)
# 调整成时间序列数据
ts1 = ts(data = a[[2]], start = 1973, frequency = 12)
lts1 = log(1 + ts1)
# 转化成对数收益率
acf(lts1)
# 观察 ARIMA 模型的阶数 (定阶)
pacf(lts1)

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R notes

Recommanded packages

• plyr
• describe{Hmisc} Generate latex tables.

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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% LaTeX snippet: language and style definition of Stata for listings package.
%                [listings](http://www.ctan.org/pkg/listings) 
%                [Stata](http://www.stata.com/)
%
% Usage:
%     Copy the code into your preamble, or import it by `\include` .
%     then in your doc:
%     \lstinputlisting[style=numbers]{DO-SCRIPT}
%     \lstinputlisting[style=numbers, style=stata-editor]{DO-SCRIPT}

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; Common Lisp code example
(defun foo (n)
  (lambda (i) (incf n i)))

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Reading Plan 2014-06-12

Economics/Finance

• Modern Portfolio Theory and Investment Analysis
• Options, Futures, and Other Derivatives 8th
• Statistics of Financial Markets 3rd
• Analysis of Financial Time Series 3rd
• Econometric Analysis of Cross Section and Panel Data

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研究课题

• 融资融券业务量化交易策略研究
• 券商柜台转让相关问题研究
• 券商做市策略研究及自主开发
• 证券公司财富管理业务发展模式及其应用研究
• 证券公司资本管理方案研究
• 证券公司经济资本分配体系建设研究
• 互联网金融模式下证券业务的风险管理及对策

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---
title: "Rmd Demo: Chinese Enabled"
author: "Shel Kong"
date: "Wednesday, July 02, 2014"
hello: "world"
output:
  html_document:
    highlight: pygments
    number_sections: yes
    theme: flatly