My good colleage Cathrine Ulla Jensen have just made a shiny app that ranks the windturbines sites based on their net present value (NPV) in a part of Denmark. The app is the first attempt in my research group to communicate our research results using shiny.
Chek out the app here: https://cathrineujensen.shinyapps.io/wheretoplaceturbine/
You can find our report here - it is in danish. We will soon be able to present a working paper in english on the subject: report
Cheers Toke
tirsdag den 21. februar 2017
tirsdag den 25. oktober 2016
creating dummy variables
I some times have to create a bunch of dummy variables from a character variable. It is tedious bussiness to create dummy variables one at the time. Some time ago I came accross this blog post dummies-for-dummies by Alan Fernihough. The little function he have create have saved me a lot of time.
### start script ###
# Dummy variable function
datdum <- function(x, data, name){
data$rv <- rnorm(dim(data)[1],1,1)
mm <- data.frame(model.matrix(lm(data$rv~-1+factor(data[,x]))))
names(mm) <- paste(name)
data$rv <- NULL
data <- cbind(data,mm)
return(data)
}
# Creating a simple example dataframe "dat" with one column "dat1" consisting of the values "A","B","C".
dat1 <- c("A","B","C")
dat <- data.frame(dat1)
# Using the dummy variable function:
datdum(x="dat1",data=dat, name=dat1)
### start script ###
# Dummy variable function
datdum <- function(x, data, name){
data$rv <- rnorm(dim(data)[1],1,1)
mm <- data.frame(model.matrix(lm(data$rv~-1+factor(data[,x]))))
names(mm) <- paste(name)
data$rv <- NULL
data <- cbind(data,mm)
return(data)
}
# Creating a simple example dataframe "dat" with one column "dat1" consisting of the values "A","B","C".
dat1 <- c("A","B","C")
dat <- data.frame(dat1)
# Using the dummy variable function:
datdum(x="dat1",data=dat, name=dat1)
### end script ###
Maybe it will save you time too.
Cheers Toke
tirsdag den 27. september 2016
Hallo World
This blog is dedicated to my exploration
of the R environment. I have been using R for the better part of eight years
and have recently build a packages - PanJen - and started a small summer course
on data management – course link.
At the moment I am working as a postdoc at Copenhagen University at department for food and resource economics. My main research area has been to develop urban planning models based property value models. Needless to say, I have spent a lot of time working on spatial data as a defining property of a property is its location. You can find reference to my publications here:google scholar profile
At the moment I am working as a postdoc at Copenhagen University at department for food and resource economics. My main research area has been to develop urban planning models based property value models. Needless to say, I have spent a lot of time working on spatial data as a defining property of a property is its location. You can find reference to my publications here:google scholar profile
I hope with this blog to structure my thoughts and share my R innovation with readers.
Here is some links to stuff people have been sharing with me and the web which I find to be interesting.
Get inspired
Get Help
&Learn R
Cool data
management
http://www.r-bloggers.com/fuzzy-string-matching-a-survival-skill-to-tackle-unstructured-information/
From Excel,sas,
stata to R
On data
science
GIS related links
R plots
Online course
and other lists
Cool data
analysis
R books
Abonner på:
Opslag (Atom)
