Displaying 20 results from an estimated 5000 matches similar to: "using apply function and storing output"
2017 Oct 02
2
Help on adding a negative binomial density plot
Dear list,
I am just starting on analysis of count data in R 3.4.0. My dataset was obtained from counting particles on a surface before andd after a cleaning process. The sampling positions on the surface are pre-defined and are the same before and after cleaning. I have ~20% of 0's. I want to know if the cleaning process was useful at reducing the number of particles.
I first fit a
2017 Oct 03
1
Help on adding a negative binomial density plot
Dear David,
thanks ever so much for your answer.
Do you mean predicting the original values based on the fitted model and then comparing observed vs. predicted by, for example, a scatterplot?
Thanks,
David
________________________________
De: David Winsemius <dwinsemius at comcast.net>
Enviado: lunes, 2 de octubre de 2017 18:18:36
Para: David
Cc: R-help
Asunto: Re: [R] Help on
2012 Mar 03
4
Sliding a Window in R
Dear all,
I am having a vector of around 300.000 elements and I Want to slide fast a window from the first element until the last-Windowsize
what I have so far is the following for statement:
for (i in 1:(length(data[,1]) - windowSize)) {
out[i] <- mean(data[i:(i + windowSize - 1), ])
elements[i]<-length(i:(i + windowSize - 1))
}
but this of course takes ages to
2006 Jul 20
3
How do I modify an exported function in a locked environment?
Running R.app on Mac OS X 10.4
> version
_
platform powerpc-apple-darwin8.6.0
arch powerpc
os darwin8.6.0
system powerpc, darwin8.6.0
status
major 2
minor 3.1
year 2006
2006 Jul 20
3
How do I modify an exported function in a locked environment?
Running R.app on Mac OS X 10.4
> version
_
platform powerpc-apple-darwin8.6.0
arch powerpc
os darwin8.6.0
system powerpc, darwin8.6.0
status
major 2
minor 3.1
year 2006
2017 Oct 02
0
Help on adding a negative binomial density plot
> On Oct 2, 2017, at 2:05 AM, David <dasolexa at hotmail.com> wrote:
>
> Dear list,
>
>
> I am just starting on analysis of count data in R 3.4.0. My dataset was obtained from counting particles on a surface before andd after a cleaning process. The sampling positions on the surface are pre-defined and are the same before and after cleaning. I have ~20% of 0's. I
2008 Jul 09
2
rollmean()
Hello,
I am trying to calculate a 31 day running mean in some temperature data
along ROWS. Rollmean() works great along columns, but how do I perform this
same action on my rows?
The data is a matrix of 365 columns (days of the year) by 5,000 rows
(lat/long coordinates).
I would like to perform a 31 day running mean along the 365 days.
I am new to R so any help would be greatly appreciated!
2008 Jan 07
5
moving or running average
Hi all R users,
Can anyone please let me know how to do the moving average with R?
With regards,
Abu
_________________________________________________________________
Free games, great prizes - get gaming at Gamesbox.
2008 Feb 13
4
rolling sum (like in Rmetrics package)
Hello, I'm new to R and would like to know how to create a vector of "rolling
sums". (I have seen the Rmetrics package and the rollMean function and I
would like to do the same thing except Sum instead of Mean.) I imagine
someone has done this, I just can't find it anywhere.
Example:
x <- somevector #where x is 'n' entries long
#what I would like to do is:
x1
2010 Jan 02
1
Question on Reduce + rollmean
Hello useRs,
I'd like to perform a moving average on the dataset, xx. I've tried
combining the functions Reduce and rollmean but it didn't work.
> r <- function(n) rollmean(n, 2) # where 2 = averaging interval
> output < - Reduce("r", x)
Error in f(init, x[[i]]) : unused argument(s) (x[[i]])
Is there anything wrong with the code in the first place?
where
2009 Dec 10
1
Moving Averages in ggplot2
Hello all,
Have some time series data stored in a data.frame, and am plotting it with
ggplot2 (which is totally awesome). I have explored the documentation and
mailing list archives, and I can't see any way to plot a 'smoother' that is
just the K-step moving average.
For example, imagine I had a data.frame called 'sleep' with 'date' as the
date (from as.Date()) and
2010 Jul 17
5
Help with a problem
Hello R users,
I am a researcher at the University of Michigan looking for a solution to an R problem. I have loaded my data in from a mysql database and it looks like this
> data
ds c1 c2
1 2010-04-03 100 0
2 2010-04-30 11141 15
3 2010-05-01 3 16
4 2010-05-02 7615 14
5 2010-05-03 6910 17
6 2010-05-04
2008 Jul 21
4
how to speed up this for loop?
Could anyone tell me a better way to achieve the output of this for loop? It
seems to run quite slow. I'm sure there must be a more consise way to sum
from FN to LN, excluding positive values, for each row.
#sum between FN and LN, excluding positive values
for(i in 1:R){
for(j in FN[i]:LN[i]){
if(Temp[i,j]<0)
sum[i] <- sum[i] + sum(Temp[i,j])}}
Cheers,
R
--
View this message in
2010 Aug 20
3
rollmean help (or similar function)
I am working on a simple pilot project comparing the capability of SQL,
SAS and R to perform a rolling mean per the following instructions. I
have completed the SQL and SAS analysis, so now it's R's turn.
Calculate mean values of x (x=count) for each date in the dataset where
mean = the average count of days [t-9] through day [t-3] for each
date/illness combination.
Dataset aggpilot
2010 Jan 04
3
Extract vector elements until cumsum <= x
Hi All,
I have a vector n, and for each n[i] I want to extract n[i], n[i+1],
n[i+2]..., until the cumulative sum of n[i] and subsequent elements exceeds
a CheckValue, whereupon I move to the next index and repeat.
I am trying to find a Vectorized approach, and have seen similar posts where
filter{stat} and rollmean{zoo} were suggested, but, I haven't been able to
figure a way to use them
2011 Jun 25
1
Moving average in a data table
Hi,
I'm trying to figure out common approach on calculating MA on a dataset
that contains column "time".
After digging around, I believe functions rollmean and rollaply should
be used.
However I don't quite understand the requirements for the underlying data.
Should it be zoo object type? Formatted in a special way?
As an example, I'm looking to get calculated
2008 Jul 22
1
rollmean and stl
I need to investigate how rollmean and the trend returned from stl differ.
I am trying to find out exactly what the trend part of stl is (I have just
started coding in R and do not know fortran). I need to extract this
because it will be used in further calculations, and it needs to be verified
to make sure that I am using the right process. I would like to use this
to remove the seasonal
2010 Feb 17
2
array question
Hello All:
If I do have:
x = (2, 4, 5, 5, 6, 4, 5, 2, 1)
y = (9, 11.5, 12.5, 13, 14, 19, 20, 21, 22)
I wanted to find a simple function in R which calculates the averages of X
and Y for every 4 unit increase of Y. The results should look like:
x = (4, 6, 3) #where (2+ 4+ 5+ 5)/ 4 = 4 and ...
y = (12, 14, 20.5) #where (9+11.5+12.5+13)/ 4 = 12 and ...
Thanks,
Mohsen
2009 Feb 26
3
Moving Average
I am looking for some help at removing low-frequency components from a signal, through Moving Average on a sliding window.
I understand thiis is a smoothing procedure that I never done in my life before .. sigh.
I searched R archives and found "rollmean", "MovingAverages {TTR}", "SymmetricMA".
None of the above mantioned functions seems to accept the smoothing
2010 Nov 17
3
Parameterising apply To Compute Rolling Average of Columns in a matrix
I sent a post to find a clever way to compute a Rolling Average of columns
in a matrix and I was given the solution below which I am very pleased
with.
RollingAverage <- function(x, RollingObs) {
cx <- cumsum(x);
N <- length(x);
Temp <- (cx[RollingObs:N] - c(0, cx[1:(N-RollingObs)]))/RollingObs
Output <- array(NA, N)
Output[RollingObs:N] <- Temp;
Output
}
The only