Hi,
I have been doing some text mining. I created the DTM matrix using the
following steps.
corpus1<-VCorpus(VectorSource(resume1$Dat1))
corpus1<-tm_map(corpus1,content_transformer(tolower))
dtm<-DocumentTermMatrix(corpus1,
control = list(removePunctuation = TRUE,
Rosa,
See save() and load() functions for background. However, I suspect you will
want to do something as described in the article in this link
http://www.fromthebottomoftheheap.net/2012/04/01/saving-and-loading-r-objects/
Mark
R. Mark Sharp, Ph.D.
Director of Primate Records Database
South
Rosa,
Why not just re-load the .txt file (which I imagine be a data frame) and
then edit?
See: http://www.inside-r.org/r-doc/utils/read.table
*I would imagine something along the lines:*
simulation_results <- read.table("path_to_text_file_of_simulation")
#Double check the parameters on the fun
I believe that you need to learn to use a code editor/IDE. R is a
programming language.
See here:
http://www.rstudio.com/
or here:
http://www.sciviews.org/_rgui/
Otherwise, I also don't understand.
Bert Gunter
"Data is not information. Information is not knowledge. And knowledge is
certainl
?saveRDS
On Sun, Jun 7, 2015 at 5:58 PM, Rosa Oliveira wrote:
> Dear Mark,
>
>
> I’ll try to explain better.
>
> Imagine I write:
>
> library(foreign)
> library(nlme)
>
> set.seed(1000)
> n.sample<-1 #sample size
> M <- 5
> DP_x <- 2
> x <- rnorm(n.sample,M,DP_x)
> p <- pnorm(-3+x)
> y <- rb
Dear Mark,
I’ll try to explain better.
Imagine I write:
library(foreign)
library(nlme)
set.seed(1000)
n.sample<-1 #sample size
M <- 5
DP_x <- 2
x <- rnorm(n.sample,M,DP_x)
p <- pnorm(-3+x)
y <- rbinom(n.sample,1,p)
dp_erro <- 0.01
erro <- rnorm(n.sample,0,dp_erro)
x.erro <- x+erro
but w
On 07/06/2015 6:11 PM, Mark Sharp wrote:
> Varun,
>
> If you type dbeta at the command line you get the R source, which in this
> case tells you that the code is calling a compiled source. This is indicated
> by the line
No, that says that the R code (what is shown) is compiled. What
indicate
Varun,
I apologize. I hit send before completing.
Look at the source document in the link I provided. dbeta is part of the stats
package, which is part of the core R system and I do not think it is available
as a standalone package. The linked document provides instructions for finding
base R
Varun,
If you type dbeta at the command line you get the R source, which in this case
tells you that the code is calling a compiled source. This is indicated by the
line
See the following.
> dbeta
function (x, shape1, shape2, ncp = 0, log = FALSE)
{
if (missing(ncp))
.Call(C_dbe
Dear all,
I’m doing simulations on R, and as my code is being changed and improved I need
to, sometimes, work in finished simulations, i.e,
After my simulation is over I need to settle another setting.
The problem is that I need to get back to the previous result.
When I save the result it sa
Dear all,
All works well. Thank you so much for your help.
D## Function 1
wet_dry1 <- function(x,thresh=0.1)
{ for(column in 1:dim(x)[2]) x[,column] <- ifelse(x[,column]>=thresh,1,0)
return(x)
}
wet_dry1(dt)
## Function 2
wet_dry2 <- ( dt >= 0.1)*1
wet_dry2
wet_total <- colSums(wet_dry2)
p
Hi,
I am trying to find the source code for dbeta function.
I tried edit(dbeta) and this is what I got:
> edit(dbeta)
function (x, shape1, shape2, ncp = 0, log = FALSE)
{
if (missing(ncp))
.Call(C_dbeta, x, shape1, shape2, log)
else .Call(C_dnbeta, x, shape1, shape2, ncp, log)
}
Dear all:for the folowing data, a two-period, two treatment (A=1 vs. B=2)
cross-over is fitted
using the folowing SAS code.
data one;
input Sbj Seq Per Trt PEF;
cards;
1 1 1 1 310
1 1 2 2 270
4 1 1 1 310
4 1 2 2 260
6 1 1 1 370
6 1
The examples on the help page for the function "simfun" in the
TeachingDemos package have some examples of simulating data from
nested designs with some terms fixed and some random. I don't think
any of the examples match your conditions exactly, but could be
modified to do so (changing a random e
On 07/06/2015 08:10, Berend Hasselman wrote:
On 07-06-2015, at 07:50, Ye Lin wrote:
Hi All,
I downloaded a data file from dropbox and its in JSON format.
here is my code:
library(RJSONIO)
data <- fromJSON(file='C:/Users/Downloads/sample.json')
Lines <- readLines("C:/Users/Downloads/sample.j
> On 07-06-2015, at 07:50, Ye Lin wrote:
>
> Hi All,
>
> I downloaded a data file from dropbox and its in JSON format.
>
> here is my code:
> library(RJSONIO)
> data <- fromJSON(file='C:/Users/Downloads/sample.json')
> Lines <- readLines("C:/Users/Downloads/sample.json")
> df <- as.data.frame(
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