search for: thresholded

Displaying 20 results from an estimated 3045 matches for "thresholded".

2009 Jun 16
2
Statistically detecting thresholds...
Rers: I have some ecological data (stream velocity vs. % cover of submerged weeds) that shows strong evidence of a thresholding step-function, e.g. below some velocity, % cover ranges from 0% to 100% (with no apparent relationship to velocity within this range of velocities), but above a certain "threshold" velocity, the % cover does not appear to exceed, say, 10%. There are good
2004 Jul 31
0
Trunk doesn't work Adit 600/T100P
Hi ! I am connecting to Adit 600 thru a T100P card I have configured 1-16 FXS channels and 17-24 FXO. Everything looks fine on Asterisk side I get a tone on all FXS channels, but when I try to dialout thru one of the FXO channels 17-24 it doesn't connect to the POTS line and echoes back my voice. I use fxsls and fxols for the T1 channels and ls on Adit side. Whats wrong here ? here is my Adit
2013 Sep 13
2
how to get values within a threshold
input: > values [1] 0.854400 1.648465 1.829830 1.874704 7.670915 7.673585 7.722619 > thresholds [1] 1 3 5 7 9 expected output: [1] 1 4 4 4 7 That is, need a vector of indexes of the maximum value below the threshold. e.g. First element is "1", because value[1] is the largest below threshold "1". Second element is "4", because value[4] is the
2005 Feb 25
2
outlier threshold
For the analysis of financial data wih a large variance, what is the best way to select an outlier threshold? Listed below, is there a best method to select an outlier threshold and how does R calculate it? In R, how do you find the outlier threshold through an interquartile range? In R, how do you find the outlier threshold using the hist command? In R, how do you find the outlier threshold
2005 Jun 07
5
Temperature monitoring tools
Are there any easy to use snmp(mainly temperature monitoring) tools around for Centos -4? This is on a Dell sc420 server. -- Computer House Calls, Networks, Security, Web Design: http://www.emmanuelcomputerconsulting.com What businesses are in Brunswick, Maryland? Check Brunswick First! http://www.checkbrunswickfirst.com My "Foundation" verse: Isa 54:17 No weapon that is formed
2010 Jun 21
5
Replacing elements of a list over a certain threshold
Dear List, I have a list of length ~1000 filled with numerics. I need to replace the elements of this list that are above a certain numerical threshold with the value of the threshold. e.g example=list(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1) threshold=5 <magic code goes here> example=(1, 2, 3, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 4, 3, 2, 1). I have written a crude
2011 Jul 11
1
Named numeric vectors with the same value but different names return different results when used as thresholds for calculating true positives
Dear List, I have encountered an odd problem that I cannot understand. It stems from the calculation of true and false positives based on two input vectors x and y based on different thresholds of x, extracted using the quantile function. I am in certain cases getting different values of true positives for the same threshold value when the threshold was found under different quantiles (e.g. the
2005 Apr 09
3
short read while checking ext3 journal
My UPS failed and my server took an 'unscheduled outage' a few weeks ago. The only casualty appears to be a volume I used for backup. I usually maintain data on multiple hard disks, but in this case I errantly had some data (of marginal value) on this file system. At this point, the data is not worth enough for me to send the drive out for data recovery, but it's worth enough to
2009 Sep 08
2
Fitting a linear model with a break point
Hello, I would like to test some data to see whether it has the shape of a step function (i.e. y1 up until x_th and then y2 where x_th is the threshold). The threshold x_th is unknown and the x values can only take discrete values (0,1,2,3,4). An example would be: data<- data.frame(x=1:20,y=c(rnorm(10),rnorm(10,10))) I was thinking along the lines of fitting some sort of piiecewise linear
2017 Jan 31
2
(RFC) Adjusting default loop fully unroll threshold
Recollected the data from trunk head with stddev data and more threshold data points attached: Performance: stddev/mean 300 450 600 750 403 0.37% 0.11% 0.11% 0.09% 0.79% 433 0.14% 0.51% 0.25% -0.63% -0.29% 445 0.08% 0.48% 0.89% 0.12% 0.83% 447 0.16% 3.50% 2.69% 3.66% 3.59% 453 0.11% 1.49% 0.45% -0.07% 0.78% 464 0.17% 0.75% 1.80% 1.86% 1.54% Code size: 300 450 600 750 403 0.56% 2.41% 2.74% 3.75%
2017 Jan 31
0
(RFC) Adjusting default loop fully unroll threshold
On Mon, Jan 30, 2017 at 4:59 PM Mehdi Amini <mehdi.amini at apple.com> wrote: > > > Another question is about PGO integration: is it already hooked there? > Should we have a more aggressive threshold in a hot function? (Assuming > we’re willing to spend some binary size there but not on the cold path). > > > I would even wire the *unrolling* the other way: just
2008 May 14
1
Time differences (as.difftime?) issue
Dear all, I have a vector generated using the function strptime: > my.dt [1] "2004-04-19 08:35:00 W. Europe Daylight Time" "2004-04-19 09:35:00 W. Europe Daylight Time" "2004-04-19 11:35:00 W. Europe Daylight Time" [4] "2004-04-19 13:35:00 W. Europe Daylight Time" "2004-04-20 07:50:00 W. Europe Daylight Time" > class(my.dt) [1]
2012 Apr 03
1
[LLVMdev] Possible typo in LoopUnrollPass.cpp
hi, In "LoopUnrollPass.cpp", when trying to reduce unroll count to meet the unroll threshold requirement in line 200 and line 206, variable "CurrentThreshold" is used in the computation, instead of the variable "Threshold", which is defined by: // Determine the current unrolling threshold. While this is normally set // from UnrollThreshold, it is overridden to
2012 Feb 09
1
Apply pmax to dataframe with different args based on dataframe factor
# I have a dataframe in the following form: track <- c(rep('A', 3), rep('B', 4), rep('C', 4)) value <- c(0.15, 0.25, 0.35, 0.05, 0.99, 0.32, 0.13, 0.80, 0.75, 0.60, 0.44) df <- data.frame(track=factor(track), value=value) #> print(df) #track value #1 A 0.15 #2 A 0.25 #3 A 0.35 #4 B 0.05 #5 B 0.99 #6 B 0.32 #7 B 0.13
2017 Feb 02
2
(RFC) Adjusting default loop fully unroll threshold
I had suggested having size metrics from somewhat larger applications such as Chrome, Webkit, or Firefox; clang itself; and maybe some of our internal binaries with rough size brackets? On Wed, Feb 1, 2017 at 4:33 PM Dehao Chen <dehao at google.com> wrote: > With the new data points, any comments on whether this can justify setting > fully inline threshold to 300 (or any other
2017 Feb 02
2
(RFC) Adjusting default loop fully unroll threshold
> On Feb 1, 2017, at 4:57 PM, Xinliang David Li via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > clang, chrome, and some internal large apps are good candidates for size metrics. I'd also add the standard LLVM testsuite just because it's the suite everyone in the community can use. Michael > > David > > On Wed, Feb 1, 2017 at 4:47 PM, Chandler Carruth via
2011 Feb 10
1
Optimal choice of the threshold u in Peak Over Threshold (POT) Approach
Dear All, Could?someone please suggest me the way to calculate the optimal threshold in POT method via?any available ?packages in R? Thanks, Fir
2017 Jan 31
3
(RFC) Adjusting default loop fully unroll threshold
> On Jan 30, 2017, at 4:56 PM, Dehao Chen <dehao at google.com> wrote: > > > > On Mon, Jan 30, 2017 at 3:56 PM, Chandler Carruth <chandlerc at google.com <mailto:chandlerc at google.com>> wrote: > On Mon, Jan 30, 2017 at 3:51 PM Mehdi Amini via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org>> wrote: >> On Jan 30,
2009 Aug 07
1
Proper / Improper scoring Rules
Hi All, I am working on some ordinal logistic regresssions using LRM in the Design package. My response variable has three categories (1,2,3) and after using the creating my model and using a call to predict some values and I wanted to use a simple .5 cut-off to classify my probabilities into the categories. I had two questions: a) first, I am having trouble directly accessing the
2005 Feb 25
4
Temporal Analysis of variable x; How to select the outlier threshold in R?
For a financial data set with large variance, I'm trying to find the outlier threshold of one variable "x" over a two year period. I qqplot(x2001, x2002) and found a normal distribution. The latter part of the normal distribution did not look linear though. Is there a suitable method in R to find the outlier threshold of this variable from 2001 and 2002 in R?