search for: cutoffs

...; wrote: > > Dear Jason, > > The code could look something like: > > dummyData = data.frame(Tract=seq(1, 10, by=1), > Pct = c(0.05,0.03,0.01,0.12,0.21,0.04,0.07,0.09,0.06,0.03), > Totpop = c(4000,3500,4500,4100,3900,4250,5100,4700,4950,4800)) > > # Define the cutoffs > # - allow for duplicate entries; > by = 0.03; # by = 0.01; > cutoffs <- seq(0, 0.20, by = by) > > # Create a new column with cutoffs > dummyData$Cutoff <- cut(dummyData$Pct, breaks = cutoffs, > labels = cutoffs[-1], ordered_result = TRUE) > > # Sort data >...

If we use the ROCR package to find the accuracy of a classifier pred <- prediction(svm.pred, testset[,2]) perf.acc <- performance(pred,"acc") Do we?find the maximum accuracy?as follows?(is there a simplier way?): > max(perf.acc at x.values[[1]]) Then to find the cutoff point that maximizes the accuracy?do we do the following?(is there a simpler way): > cutoff.list <-

Dear Jason, The code could look something like: dummyData = data.frame(Tract=seq(1, 10, by=1), ?? ?Pct = c(0.05,0.03,0.01,0.12,0.21,0.04,0.07,0.09,0.06,0.03), ?? ?Totpop = c(4000,3500,4500,4100,3900,4250,5100,4700,4950,4800)) # Define the cutoffs # - allow for duplicate entries; by = 0.03; # by = 0.01; cutoffs <- seq(0, 0.20, by = by) # Create a new column with cutoffs dummyData$Cutoff <- cut(dummyData$Pct, breaks = cutoffs, ?? ?labels = cutoffs[-1], ordered_result = TRUE) # Sort data # - we could actually order only the columns: #...

Dear List,   I am new to ROC analysis and the package ROCR. I want to compute the confidence intervals of sensitivity and specificity for a given cutoff value. I have used the following to calculate sensitivity and specificity:   data(ROCR.simple) pred <- prediction(ROCR.simple$predictions, ROCR.simple$labels)   se.sp <- function (cutoff, performance) {     sens <-

...0.07 5100 > > 8 0.09 4700 > > 9 0.06 4950 > > 10 0.03 4800 > > > > And I want to end up with a data frame with two columns, a "Cutoff" column that is a simple sequence of equally spaced cutoffs (let's say in this case from 0-0.15 by 0.01) and a "Pop" column which equals the sum of "Totpop" in the prior data frame in which "Pct" is greater than or equal to "cutoff." So in this toy example, this is what I want for a result: > > > >...

...04 4250 > 7 0.07 5100 > 8 0.09 4700 > 9 0.06 4950 > 10 0.03 4800 > > And I want to end up with a data frame with two columns, a "Cutoff" column that is a simple sequence of equally spaced cutoffs (let's say in this case from 0-0.15 by 0.01) and a "Pop" column which equals the sum of "Totpop" in the prior data frame in which "Pct" is greater than or equal to "cutoff." So in this toy example, this is what I want for a result: > > Cutoff...

Dear R helpers: I wonder how to pass more than one argument to the function called by lapply. For example, #R code below --------------------------- indf <- data.frame(id=I(c('a','b')),y=c(1,10)) #I want to add an addition argument cutoff into the function called by lapply. outside.fun <- function(indf, cutoff) { unlist(lapply(split(indf, indf[,'id']),

...04 4250 > 7 0.07 5100 > 8 0.09 4700 > 9 0.06 4950 > 10 0.03 4800 > > And I want to end up with a data frame with two columns, a "Cutoff" column that is a simple sequence of equally spaced cutoffs (let's say in this case from 0-0.15 by 0.01) and a "Pop" column which equals the sum of "Totpop" in the prior data frame in which "Pct" is greater than or equal to "cutoff." So in this toy example, this is what I want for a result: > > Cutoff...

I have a question about "deparse" function in R What is the reason that "deparse" use an argument like "width.cutoff" ? Why the maximum cutoff is 500? I was manipulating an R formula and used "deparse". Since the length of user's formula was greater then 500, my code didnt work. thanks Johan johan Faux <johanfaux@yahoo.com> wrote: I have a

Hello, some misc. cleanup patches for speexdsp, nothing big I'm not sure about how to submit patches, so this is a test balloon :) ultimately, I'd like to fix the FIXED_POINT issue, see http://lists.xiph.org/pipermail/speex-dev/2013-December/008465.html currently, I think the only way to find out how speexdsp has been compiled is to resample some bytes and observe the output; which is

Dear Jason, I do not think that the solution based on aggregate offered by GPT was correct. That quasi-solution only aggregates for every individual level. As I understand, you want the cumulative sum. The idea was proposed by Bert; you need only to sort first based on the cutoff (e.g. using an ordered factor). And then only extract the last value for each level. If Pct is unique, than you

Dear all (copying the package author), I have a question on the vlmc package. I am trying to model a time series, where each element can take one of 11 values (the result of some clustering). When I run the following command (synthetic data to facilitate self-contained example) I get the following warning: ("alphabet with >1-letter strings; trying to abbreviate") +++ START+++ >

Hi, I understand that dichotimization of the predicted probabilities after logistic regression is philosophically questionable, throwing out information, etc. But I want to do it anyway. I'd like to include as a measure of fit % of observations correctly classified because it's measured in units that non-statisticians can understand more easily than area under the ROC curve, Dxy, etc.

The deparse function has an argument "width.cutoff" which allows you to set the width at which line breaking is attempted. However, setting this argument _permanently_ changes the line break width. Looking at the source code ($RHOME/src/main/deparse.c), I see that the width.cutoff argument sets the static variable "cutoff". Although the function do_deparse behaves correctly

...3900 6 0.04 4250 7 0.07 5100 8 0.09 4700 9 0.06 4950 10 0.03 4800 And I want to end up with a data frame with two columns, a "Cutoff" column that is a simple sequence of equally spaced cutoffs (let's say in this case from 0-0.15 by 0.01) and a "Pop" column which equals the sum of "Totpop" in the prior data frame in which "Pct" is greater than or equal to "cutoff." So in this toy example, this is what I want for a result: Cutoff Pop 1...

Guys.. I just noticed that my grandstream handytone 286 ata are having problems with voice cutoffs... We can listen to the person on the zap channel (x100p cards) without problems but they sometimes listen to us with cutoffs.. like "He ...lo..... ow...r.. you" and it comes and goes.. this doesnt happen all the time but often enough. Any ideas what might be happening or what do I need...

Signed-off-by: Peter Meerwald <pmeerw at pmeerw.net> --- libspeexdsp/resample.c | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/libspeexdsp/resample.c b/libspeexdsp/resample.c index e32ca45..a19b997 100644 --- a/libspeexdsp/resample.c +++ b/libspeexdsp/resample.c @@ -85,7 +85,7 @@ static void speex_free (void *ptr) {free(ptr);} #ifdef FIXED_POINT #define

Dear all, Sorry to post my query once again in the list, since I did not get attention from anyone in my previous mail to this list. Now I make it simple here that please give me a code for find out the columns of a dataframe whose correlation coefficient is below a pre-determined threshold. (For detailed query please see my previous message to this list, pasted hereunder) Thanks and regards,

On Tue, Apr 15, 2014 at 12:33 PM, Peter Meerwald <pmeerw at pmeerw.net> wrote: > Signed-off-by: Peter Meerwald <pmeerw at pmeerw.net> > --- > libspeexdsp/resample.c | 14 +++++++------- > 1 file changed, 7 insertions(+), 7 deletions(-) > > diff --git a/libspeexdsp/resample.c b/libspeexdsp/resample.c > index e32ca45..a19b997 100644 > ---

Hi, I have a table of x rows and y columns. The table is huge and so i'd like to create a subset of the data containing rows where any of the y values are below a threshold, say 1e-4. Is there a simple way of doing this in R? thanks Rich