On Jan 3, 2015, at 9:20 PM, npretnar wrote:
> Sorry. Bad example on my part. Try this. V1 is ...
>
> V1
> alabama
> bates
> tuscaloosa
> smith
> arkansas
> fayette
> little rock
> alaska
> juneau
> nome
>
> And I want:
>
> V1V2
> alabama bates
> alabama tuscaloo
Thanks for the pedantic insult, but no thanks. I'd rather just hear if
anyone reading this is able to make something like this work on any
architecture:
vec <- 1:10/10
con <- file( "test.bin16", "wb" )
writeBin( vec , con, size=2 )
close(con)
If they can do it, they can tell me about it. Tha
Your message is missing either a reproducible example or an indication of your
R environment (such as the output of sessionInfo()).
Yes, the machine architecture can prevent certain types of operations. This is
however a poor venue for discussing such issues.
I suggest that you investigate the
It's an IEEE standard format:
http://en.wikipedia.org/wiki/Half-precision_floating-point_format#IEEE_754_half-precision_binary_floating-point_format:_binary16
This is what I see:
writeBin(vec , con, size=2 )
Error in writeBin(vec, con, size = 2) : size 2 is unknown on this machine
I'm not su
Sorry. Bad example on my part. Try this. V1 is ...
V1
alabama
bates
tuscaloosa
smith
arkansas
fayette
little rock
alaska
juneau
nome
And I want:
V1 V2
alabama bates
alabama tuscaloosa
alabama smith
arkansasfayette
arkansaslittle rock
alaska juneau
al
Ahh ... you may have missed this:
Larger example below.
So for the below example it will be:
Dad Mum Child Group sumdad summum sumchild childseg
1: AA RRRA A 2 200
2: AA RRRR A 2 211
3: AA AAAA B 4
I'm not sure what's so complicated about that (am I missing
something?). You can search using grep, and replace using gsub, so
tmpDF <- read.table(text="V1 V2
A 5
a1 1
a2 1
a3 1
a4 1
a5 1
B 4
b1 1
b2 1
b3 1
b4 1",
he
Hi all,
I am interested in modeling total fish catch using gam in mgcv to model simple
random effects for individual vessels (that make repeated trips over time in
the fishery). I have 98 subjects, so I thought I would use gam instead of gamm
to model the random effects. My model is:
modelGOM
Thanks! It answered my question.
Rodica
- Original Message -
From: Achim Zeileis
To: David Winsemius
Cc: Rodica Coderie ; "r-help@r-project.org"
Sent: Saturday, January 3, 2015 10:58 PM
Subject: Re: [R] Export chaid decision tree rules
On Sat, 3 Jan 2015, David Winsemius wrote:
> O
I have a string variable (V1) in a data frame structured as follows:
V1 V2
A 5
a1 1
a2 1
a3 1
a4 1
a5 1
B 4
b1 1
b2 1
b3 1
b4 1
I want the following:
V1 V2 V3
a1 1 A
a2 1 A
a3
dimnik wrote
> i want to find a functionthattakes in two vectors of numbers
> thathave
> the same
> length.The output should be a listof vectors, where each vector
> is a
> sequence of
> randomly generated Poisson variableswher
On Jan 3, 2015, at 9:27 AM, Jacob Varughese wrote:
> Hi,
>
> I have a discrete set of data on the returns for 3 indices with 206 data
> points. Since the number of points is less it doesnt exact look like a
> gaussian distribution.
>
> I wanted to fit the data to a gaussian distribution and hav
Hello everyone,
I try to use edge R package to analysis my data as following
This is my data frame called subdata
AB C
D E
1 13707 13866 12193 12671
On Sat, 3 Jan 2015, David Winsemius wrote:
On Jan 3, 2015, at 1:21 AM, Rodica Coderie via R-help wrote:
Hello,
Can the decisions tree rules be exported? Along with the probabilities
associated with each node?For example, I've created a CHAID decision with a
target variable RESPONSE (YES/NO).
Hi,
I have a discrete set of data on the returns for 3 indices with 206 data
points. Since the number of points is less it doesnt exact look like a
gaussian distribution.
I wanted to fit the data to a gaussian distribution and have used the
fitdist function and have gotten the plots and the mean
On Jan 3, 2015, at 1:21 AM, Rodica Coderie via R-help wrote:
> Hello,
> Can the decisions tree rules be exported? Along with the probabilities
> associated with each node?For example, I've created a CHAID decision with a
> target variable RESPONSE (YES/NO). I have 17 inner nodes with 19 termina
Hello,
Can the decisions tree rules be exported? Along with the probabilities
associated with each node?For example, I've created a CHAID decision with a
target variable RESPONSE (YES/NO). I have 17 inner nodes with 19 terminal
nodes. How which terminal node has the highest probability of YES an
Hello David,
Thank you so much for your advice.The revision of the code as "reve <-
data[, event]" in the function (but with no changing of the example data) seems
to provide the desired results (shown below). These 3 subjects are followed
for 5 years. Subject A experienced the event in
Your data are wrong. The 'event' variable (dead in your example) needs
to be 1 for cases that end in an event and 0 for spells that are
censored: yours is the other way around. If you change the 'dead'
variable to c(1,0,1) you will get the desired result.
If you really need to reverse the behavio
Hello,
I was trying to convert person-level observations to person-period observations
using an R custom function obtained from the UCLA web site
(http://www.ats.ucla.edu/stat/r/faq/person_period.htm). Please see my
reproducible example below. The function (PLPP) in the R script takes five
a
20 matches
Mail list logo
