Everyone -
What do the NaN's mean here? Is this analysis a problem?
Linear mixed-effects model fit by maximum likelihood
Data: tmp.dat
AIC BIClogLik
1611.251 1638.363 -797.6253
Random effects:
Formula: ~1 | group_id
(Intercept) Residual
StdDev: 0.0003077668
desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-project.org] Namens Edward Patzelt
Verzonden: maandag 6 september 2010 15:43
R Community -
I am attempting to fit a model as described in Hampton, Bossaerts, and
O'doherty (J. Neuroscience) 2006. They use a bayesian hidden markov model
to model the Reversal Learning data. I have tried using HMM and depmixS4
with no success. My data is a Reversal Learning Task in which
I want to write code that says If you find an element equal to 4 in this
vector for each person in the data set tested separately, then put in 1 for
2 and 2 for 4, else leave the variable as is
u.ppl - (unique(init.dat1$grid))
l.ppl - length(u.ppl)
for (i in 1:l.ppl)
{
at ?ifelse it is something like a vectorized if
statement and is, I believe, preferable to your use of a for loop. I
can probably give you a runnable solution if you can give the first
few rows of the relevant data.
Cheers,
Josh
On Fri, Aug 5, 2011 at 2:15 PM, Edward Patzelt patze...@umn.edu wrote
- recode(x, 2 = 1; 4 = 2)
}
return(x)
}
## do it
dat$test - with(dat, *ave*(Slide1_RESP, Subject, FUN = foo))
On Fri, Aug 5, 2011 at 4:56 PM, Joshua Wiley jwiley.ps...@gmail.com wrote:
On Fri, Aug 5, 2011 at 2:34 PM, Edward Patzelt patze...@umn.edu wrote:
The problem is that we were using
On Mon, Aug 8, 2011 at 10:43 AM, Joshua Wiley jwiley.ps...@gmail.comwrote:
On Mon, Aug 8, 2011 at 8:23 AM, Edward Patzelt patze...@umn.edu wrote:
Thanks Josh for the code to post I have been trying to figure out how to
do
that. Your code works except that it changes subjects that responded
/x64 (64-bit)
with car_2.0-10
HTH,
Josh
On Mon, Aug 8, 2011 at 9:02 AM, Edward Patzelt patze...@umn.edu wrote:
Here's the code. I don't want it to even touch the vector if there are
already 1's 2's
structure(list(subject = c(8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L,
8L, 42L, 42L, 42L
survival_2.36-5 nnet_7.3-1 MASS_7.3-11
again without issue, so I am thinking there must be something
particular perhaps to your session going on, but it is difficult to
say.
On Mon, Aug 8, 2011 at 9:35 AM, Edward Patzelt patze...@umn.edu wrote:
H, I pulled out a portion of the data
...
$ TrainTestBlock : int 1 1 1 1 1 1 1 1 1 1 ...
$ TrialType : chr AB AB AB BA ...
$ Valid : int 1 1 0 1 1 1 1 1 1 0 ...
On Mon, Aug 8, 2011 at 12:35 PM, Edward Patzelt patze...@umn.edu wrote:
Here's a thought, when I execute it on a data frame with only the subject
R-help -
This code iterates over a function with 2 free parameters to find a list of
values (which are the number of incorrect predictions for a computational
model). I want to find the values of i,e when there is the minimum number
of incorrect predictions. In other words, the value of i and e
R -
I have 3 variables with data below. Variable Rev is a vector that changes
from 1 to 2, 2 to 3, etc Variable FF is a binary variable with 1's
and 0's. Variable bin is a different binary variable with 1's and 0's.
I want to calculate the number of elements:
1. Starting with the first
)), .Names = c(Rev, FF, bin), row.names = c(NA,
-125L), class = data.frame)
On Mon, Aug 22, 2011 at 3:57 PM, Jean V Adams jvad...@usgs.gov wrote:
Re: [R] Counting Elements Conditionally
Jean V Adams
to:
Edward Patzelt
08/22/2011 03:53 PM
[R] Counting Elements Conditionally
Edward
after it sees the first occurrence of 0 in FF following a transition, I want
it to ignore all further elements until the next transition.
On Mon, Aug 22, 2011 at 3:58 PM, Edward Patzelt patze...@umn.edu wrote:
Awesome, this is close, couple changes. Below is full data set for 1
person. I
, NA, 3, NA,NA, NA, 2) ?
Jean
Edward Patzelt patze...@umn.edu wrote on 08/22/2011 03:58:38 PM:
[image removed]
Re: [R] Counting Elements Conditionally
Edward Patzelt
to:
Jean V Adams
08/22/2011 03:58 PM
Cc:
r-help
Awesome, this is close, couple
I'm am trying to create a vector that has a running total that adds each
time a 1 occurs. here's the code and data
c(1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L,
1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,
0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,
[12,] 1 9
[13,] 1 10
[14,] 1 11
[15,] 1 12
[16,] 1 13
[17,] 0 13
On Mon, Mar 5, 2012 at 1:51 PM, Edward Patzelt patze...@umn.edu wrote:
I'm am trying to create a vector that has a running total that adds each
time a 1 occurs. here's the code and data
c(1L, 1L, 0L, 1L, 1L
R -
Does anyone know of a cubic gradient descent package? I found grad.desc()
but that only allows for a 2d function. I have 3 free parameters and thus
am looking for a 3d function.
Thank you,
--
Edward H. Patzelt
Research Assistant TRiCAM Lab
University of Minnesota
R help -
I am attempting to write a script that has multiple subjects in 1 data file.
Each subject has multiple rows with columns as variables. Here is my code,
I am having problem executing it on each unique subject id (dat$Subject).
getwd()
-
On Tue, Jun 28, 2011 at 1:27 PM, David Winsemius dwinsem...@comcast.netwrote:
On Jun 28, 2011, at 1:44 PM, Edward Patzelt wrote:
R help -
I am attempting to write a script that has multiple subjects in 1 data
file.
Each subject has multiple rows with columns as variables. Here is my
R Community -
I'm attempting to apply a softmax action selection to a probability
generated by a hidden Markov model. I'm having difficulties in how to
apply the softmax temperature parameter (beta). Here is my code thus far.
I'm thinking the sigmoid function will work but I need this function
R-help -
I'm trying to create axis breaks similar to this :
http://www.r-bloggers.com/wp-content/uploads/2010/08/bar-chart-natural-axis-split1.png
.
Is there a way to do this in R? Here's my code thus far:
structure(list(condition = structure(c(2L, 1L, 3L), .Label = c(con,
exp, unedit), class
R-help -
I have this set of aggregated tables (sample data below via dput()). And I
would like to have delayValue as the column variables with the temp
(temp1, temp2, temp3) values as the row variables. However I would like to
have the temp variables *aggregated into single rows* so that I have
R -
I would like to construct a matrix from the output of a loop that has 2
values it varies over the course of the loop creating a 20x20 matrix of
output values:
ap = logspace(-3, 0, 20)
am = logspace(-3, .7, 20)
for (ap in apList)
{
for (am in amList)
{
output = func(ap, am)
}
}
R Help -
I'm attempting to use fminsearch and it continues to give me errors. I have
a normal Rescorla Wagner function that has 2 parameters and returns total
error. for some reason fminsearch keeps saying the type of errors below,
I've put the function and data after it using dput
sol -
R Help -
Why is that in the results below, changing the order of the factor
(trialType2: levels - DD, SD, DS, SS) changes the estimates in the fixed
effects tests?
tmp.dat4$trialType2 - sort(tmp.dat4$trialType, decreasing = TRUE)
mod2c - lme(proportion.down ~ trialType2, data = tmp.dat4,
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