Skip to main content

How to modify elements in a list and return list usingrapply

Using rapply one can write a function which runs over elements in a list returning a list. # Here I create a list of 10 normal random numbers testList <- data-blogger-escaped-0="" data-blogger-escaped-add="" data-blogger-escaped-all="" data-blogger-escaped-are="" data-blogger-escaped-by="" data-blogger-escaped-code="" data-blogger-escaped-elements="" data-blogger-escaped-function="" data-blogger-escaped-here="" data-blogger-escaped-how="list" data-blogger-escaped-i="" data-blogger-escaped-ifelse="" data-blogger-escaped-list="" data-blogger-escaped-newlist="" data-blogger-escaped-numbers="" data-blogger-escaped-rapply="" data-blogger-escaped-reduce="" data-blogger-escaped-replace="" data-blogger-escaped-rnorm="" data-blogger-escaped-testlist="" data-blogger-escaped-the="" data-blogger-escaped-using="" data-blogger-escaped-which="" data-blogger-escaped-x="">
Labels:

Comments

Post a Comment

Popular posts from this blog

Basic Econometrics - Chapter 1 - Exercise 1

Exercise 1.1 Table 1.2 gives data on the Consumer Price Index (CPI) for seven industrialized countries with 1982-1984 = 100 as base of the index. a. From the given data, compute the inflation rate of each country. b. Plot the inflation rate for each country against time (i.e. use the horizantal axis for time and the vertical axis for the inflation rate) c. What broad conclusions can you draw abou the inflation experience in the seven countries? d. Which countries inflation seems to be most variable? Can you offer any explanation? ## Note here I have to skip several rows and add column names. Have a look at ## the raw data. Column names are c('Year', 'Canada', 'France', 'Germany', ## 'Italy','Japan', 'UK', 'US') cpi <- read.table("https://raw.githubusercontent.com/cablegui/Econometrics/master/OriginalData/Table%201.2.txt", skip = 6, col.names = c("Ye...
Post a Comment
Read more

Step by step guide to installing and using miktex with RStudio (Windows)

Using miktex with Rstudio is very easy with the miktex portable app available from http://miktex.org/portable. Steps 1. Follow the instructions from http://miktex.org/portable to download and unzip the miktex portable application in a loccation of your choice. 2. In R write the following code in a script and save it. Note that the E:\\Software-Silo\\Miktex\\miktex\\bin location is the location where I unzipped the miktex portable application. # Install miktex y <- Sys.getenv("PATH") x <- paste0(y,";","E:\\Software-Silo\\Miktex\\miktex\\bin") Sys.setenv(PATH=x) 3. Run Miktex by double clicking the following application "miktex-portable.cmd" in the Miktex main directory. 4. Run step 2 in RStudio to install the path into R environment. 5. Open a new RNW in RStudio to test whether Miktex works . 6. Run Compile PDF in RStudio. It should be just at the top of the RNW file created in step 5. 7. You will now see a PDF file whic...
3 comments
Read more

Installing and using ROracle in R

Hi, Hope this post keeps you in the best of health. I am an oracle user and wanted to know how to fetch database information in R. There is a package out there called ROracle but there are no binaries for it and it thus needs to be built and then installed. Here are the steps to install it on Windows 7 machines. 1. Download the package from http://cran.r-project.org/web/packages/ROracle/index.html. Since I wrote this post the latest that was available was  ROracle_1.1-12.tar.gz . 2. Place the package in the directory where R is installed. I placed mine in E:\R\R-3.0.2\bin folder. 3. Install RTools from http://cran.r-project.org/bin/windows/Rtools/. Since my R version is R-3.0.2 the toolkit I needed was RTools31.exe. 4. Install the Rtools software in the R home directory. I placed mine in E:\R\Rtools. Place all the extras in there too. For example I placed my 32 bit extras in E:\R\RExtras32 and the 64 bit in E:\R\RExtras64 folder. These extras are not necessary for ...
6 comments
Read more