GuillaumeL
  • Member for 5 years, 3 months
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  • Montreal, QC, Canada
Sample of rates: mean, standard deviation, coefficient of variation
2 votes

In your case, the time is really the total time of the individual operations; the average speed is the total time divided by the number of operations. If you have that info (I assume you do) then you ...

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Modeling Time Series Sensor Data with Machine Learning Techniques?
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2 votes

Edit and TL;DR version: this could be treated as a mediation/moderator analysis problem, but that would still require an independant measurement to calibrate the device. This sounds like a mediation/...

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Is there a formal reason for identifying and using "knee/elbow points"?
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1 votes

Your intuition about optimization is right. The elbow/knee considered as the point where the independant variable(s) will either start to or cease having a larger effect on the dependant variable. In ...

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How to choose resample size when drawing without replacement?
0 votes

I included a bit of R code as a quick way to test intuitions about the bootstrap and variance estimation. For this data set, the bootstrap will tend to slightly underestimate the variance, consistent ...

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Small sample, Likert scale as independent variable
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I've done that type of analysis a few times. I usually start by wrangling the data so that I have a column for each of the socio-demographic items, or basically anything that's not scaled data. The ...

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How to convert Spearman's $\rho$, and Cramér's V to Cohen's $d$?
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There are formulas that let you convert between r and d. From the documentation of the effectsize R package:

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Can i include the product of two random variables? Or do I risk collinearity?
0 votes

Don't do y = x1 + x2 + x3 + x3 ...which is equivalent in your case to y = x1 + x2 + (x1 * x2) + (x1 / x2) To include the product of the predictors, it is better practice to create your model with ...

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Looking for the 'Elbow' in data
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For the example provided, a simple method would be to apply a smoothing algorithm then do the 2nd derivative as shown in my answer to this other question.

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What does the k-value stand for in a KNN model?
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Knn does not use clusters per se, as opposed to k-means sorting. Knn is a classification algorithm that classifies cases by copying the already-known classification of the k nearest neighbors, i.e. ...

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