d))),]
> }
>
> Now take the samples and combine them into a single data frame:
>
> sample <- do.call(rbind, lapply(dta.list, smp))
> sample
>
> -
> David L Carlson
> Department of Anthropology
> Texas A&M University
> Colle
Since you indicated there are six more columns in the data.frame, getSample
modified below to take care of it.
> getSample
function(x)
{
sites <- unique(x$SiteID)
years <- unique(x$Year)
result <- data.frame()
x$ID <- seq(1,nrow(x))
for (i in 1:length(sites))
{
for (j in 1:length(y
Here is an implementation with function named getSample. Some modification to
the data was made so that it can be read as a table.
> fitting.set
IDbyYear SiteID Year
1 42.24 A-Airport 2006
2 42.24 A-Airport 2006
3 42.24 A-Airport 2006
4 42.
versity
College Station, TX 77840-4352
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Curtis
Burkhalter
Sent: Tuesday, March 3, 2015 3:23 PM
To: r-help@r-project.org
Subject: [R] sampling dataframe based upon number of record occurrences
Hello everyone,
I&#x
Hello everyone,
I'm having trouble performing a task that is probably very simple, but
can't seem to figure out how to get my code to work. What I want to do is
use the sample function to pick records within in a dataframe, but only if
a column attribute value is repeated more than 3 times. So if
Here are some options that may help you out. First,
let's put the data in a format that can be cut-and-pasted
into R.
myData <- read.table(textConnection("var1 var2 var3
1 111
2 312
3 813
4 614
51015
6 221
7 422
8
Hi,
I have a table like that:
> datatest
var1 var2 var3
1 111
2 312
3 813
4 614
51015
6 221
7 422
8 623
9 824
10 1025
I need to create another table based on that with th
7 matches
Mail list logo
