Questions tagged [ties]
Ties refer to equal values observed in the data. When multiple, ties can pose a problem for some methods of data analysis.
14 questions
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Is there an alternative to the Kolmogorov-Smirnov test for tied data with correction?
I've got a bunch of data from two samples (control and treated), each containing several thousand values which are to undergo significance testing in R. Theoretically, the values should be continuous, ...
21
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4
answers
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Survival analysis: continuous vs discrete time
I am confused about how to decide whether to treat time as continuous or discrete in survival analysis. Specifically, I want to use survival analysis to identify child- and household-level variables ...
20
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"Ties should not be present" in one-sample Kolmgorov-Smirnov test in R
I am going to use the Kolmogorov-Smirnov test to test normality of MYDATA in R. This is an example of what I do
ks.test(MYDATA,"pnorm",mean(MYDATA),sd(MYDATA))
...
5
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1
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Kolmogorov-Smirnov vs Mann-Whitney U When There Are Ties
I have a dataset consisting of rank data, some 100 cases and 2 groups. (The 2 groups contain about 1/3 and 2/3 of the cases.) I would like to test whether the two groups differ with respect to median ...
24
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4
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Dealing with ties, weights and voting in kNN
I am programming a kNN algorithm and would like to know the following:
Tie-breaks:
What happens if there is no clear winner in the majority voting? E.g. all k nearest neighbors are from different ...
13
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1
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How does ties.method argument of R's rank function work?
I am using rank(a, ties.method="max") to rank a. But I am not quite sure what does ties.method="max" do. Can you please help?
9
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ks.test and ks.boot - exact p-values and ties
I am confused by the behaviour of ks.test (package stat) a) in the presence of ties and b) if one-sided while doing a two-sample test. Documentation: "Exact p-values are not available for the two-...
4
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Nelson-Aalen estimator and interval censoring/tied events
I just noticed that the Nelson-Aalen estimate of the cumulative hazard changes depends on the existence of tied events. As a toy example, consider a study with 3 patients. The patients die on day 1, 5,...
3
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1
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Mann-Whitney test with ties
I have two data sets with PDFs roughly like this:
$$
p(x) = \left\{
\begin{array}{lr}
.75 & x = 0\\
\text{Lomax}(x) & x > 0
\end{array}
\right.
$$
i.e. it's ...
3
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1
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Stochastic gradient descent for neural networks with tied weights
For the neural network depicted below, I want to calculate the Error with respect to $w_{tied}$, which we get if we tie the weights $w_1$ and $w_4$ together. Tying the weights together would help to ...
2
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2
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ties in Wilcoxon t test in R
I have a paired data with a small sample size of 19 subjects who gave different scores at time 1 ($T_1$) and time 2 ($T_2$). I'd like to conduct a Wilcoxon test using R, because my data are not normal....
2
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1
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Use of Mann-Whitney w/ Ties
I am tracking the results of a test between a control group and 1 variant group. Each group contains (an unequal quantity of) users whose order count we're now tracking. The histogram is heavily ...
2
votes
1
answer
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Ties in a two-sample Kolmgorov-Smirnov test
This question is somehow connected to this one.
I am performing a two-sample KS test in R and I think I have not fully understood the issue of the ties.
Reading the help: ...
0
votes
1
answer
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What happen if KNN has k=1 and there are 2 nearest classes with the same distance
What happen if KNN has k=1 and there are 2 nearest classes with the same distance?
as fare as I know, If k is even number and have equal classes number it will random class for the answer.
But what ...