Displaying 10 results from an estimated 10 matches for "comparion".
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comparison
2012 Dec 27
0
comparion between xen n kvm :Performance analysis of transport protocol(TCP) during live migration
Hello, I want to do comparative study between xen and kvm during live
migration of vm.analysis of downtime and also using wireshark and netperf
tool to perform analysis, what else can be done?
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2007 Apr 18
4
Two sample t.test, order of comparions
Dear group members,
I want to compare response variables ("logAUC") of two groups (treatment
"Test", "Reference") of a subset ("period == 1") in dataframe "resp"
(below):
sequence subject period treatment AUC logAUC
1 RT 1 1 Reference 44.1 3.786460
2 RT 1 2 Test 39.1 3.666122
3 RT 2
2017 Feb 25
2
Help understanding and lowering LLVM IDS conditional codes correctly
...ETO:
case ISD::SETUEQ:
case ISD::SETUGT:
case ISD::SETUGE:
case ISD::SETULT:
case ISD::SETULE:
case ISD::SETUNE:
CC = getSetCCInverse(CC,false);
getFPCCtoMBCC(CC,CondCode);
break;
}
}
I am generating wrong code when using floating point library call for
comparions. For the following simple case:
float branchTest(float a, float b) {
float retVal;
if (a == b) {
retVal = a / b + 22.34;
}
return retVal;
}
I am getting:
brlid r15,__nesf2
nop
beqi r3,.LBB0_2 ; r3 is return regsiter
Now I want to understand difference between three different version of
Condition...
2013 Jul 02
3
[PATCH RFC] xen-netback: remove guest RX path dependence on MAX_SKB_FRAGS
This dependence is undesirable and logically incorrect.
It''s undesirable because Xen network protocol should not depend on a
OS-specific constant.
It''s incorrect because the ring slots required doesn''t correspond to the
number of frags a SKB has (consider compound page frags).
This patch removes this dependence by correctly counting the ring slots
required.
2017 Mar 09
2
Help understanding and lowering LLVM IDS conditional codes correctly
...ase ISD::SETUGE:
> case ISD::SETULT:
> case ISD::SETULE:
> case ISD::SETUNE:
> CC = getSetCCInverse(CC,false);
> getFPCCtoMBCC(CC,CondCode);
> break;
> }
> }
>
> I am generating wrong code when using floating point library call for
> comparions. For the following simple case:
> float branchTest(float a, float b) {
> float retVal;
> if (a == b) {
> retVal = a / b + 22.34;
> }
> return retVal;
> }
> I am getting:
> brlid r15,__nesf2
> nop
> beqi r3,.LBB0_2 ; r3 is return regsiter
>
> Now I want to und...
2007 Jun 12
1
Post-hoc tests for interactions of between- and within-subject factors
...gegp:nback:cond 4 2.22 0.56 0.3621 0.8356007
Residuals 546 836.92 1.53
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
TukeyHSD does not seem to work for within-person factors. Any suggestions
how to perform post-hoc comparions?
Thanks in advance,
Julius
--
Julius Verrel (PhD student)
MPI for Human Development
Lentzeallee 94
D-14195 Berlin
+49 30 82406-410
2017 Mar 14
2
Help understanding and lowering LLVM IDS conditional codes correctly
...; CC = getSetCCInverse(CC,false);
>> getFPCCtoMBCC(CC,CondCode);
>> break;
>> }
>> }
>>
>> I am generating wrong code when using floating point library
>> call for
>> comparions. For the following simple case:
>> float branchTest(float a, float b) {
>> float retVal;
>> if (a == b) {
>> retVal = a / b + 22.34;
>> }
>> return retVal;
>> }
>> I am getting:
>>...
2009 Sep 08
3
Omnibus test for main effects in the face ofaninteraction containing the main effects.
...t that normally one could rely on the fact that the model
Post<-Time+as.factor(Group)+as.factor(Group)*Time
contains the model
Post<-Time+as.factor(Group)
and compare the two models using anova(model1,model2). However, my model
is has a random effect, the comparison is not so easy. The REML
comparions of nested random effects models is not valid when the fixed
effects are not the same in the models, which is the essence of the
problem in my case.
In addition to the REML problem if one wants to perform an omnibus test
for Group, one would want to compare nested models, one containing
Group, an...
2005 Jun 17
2
adjusted R^2 vs. ordinary R^2
I thought the point of adjusting the R^2 for degrees of
freedom is to allow comparisons about goodness of fit between
similar models with different numbers of data points. Someone
has suggested to me off-list that this might not be the case.
Is an ADJUSTED R^2 for a four-parameter, five-point model
reliably comparable to the adjusted R^2 of a four-parameter,
100-point model? If such values
2013 Jun 27
3
using "rollapply" to calculate a moving sum or running sum?
#using "rollapply" to calculate a moving sum or running sum?
#I am tryign to use rollapply to calcualte a moving sum? #I tried
rollapply and get the error message
#"Error in seq.default(start.at, NROW(data), by = by) :
# wrong sign in 'by' argument"
#example:
mymatrix <- ( matrix(data=1:100, nrow=5, ncol=20) )
mymatrix_cumsum <- ( matrix(data=NA, nrow=5,