question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>Goal: Determine if a machine is defective</p>
<p>Say I am going to give the same treatment to a group of people. I have a machine that will randomly split them into $2$ groups before giving the same treatment ($50\%$ chance of being in either group). Treatment has a known success rate of about $20\%$. So, chance of... | g31182 | [
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<p>I need to run an inferential test on some large data where the individual data points have a heavily skewed distribution. I'm considering doing a paired t-test across a number of days comparing the results of the test group to the control group. But if I take daily means, I'm still subject to outliers influencing th... | g24285 | [
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<p>I'm evaluating a questionnaire about job satisfaction, based on Likert scale. As for any questionnaire, there are some correlated questions assessing one factor.
Since I’m using SPSS, I know that I can evaluate the population’s average of “each question” with One Sample t-test; However, what I need is an overall an... | g21087 | [
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<p>I am getting a strange error converting Gene Symbols to Entrez ID. Here is my code:</p>
<pre><code>testData = read.delim("IL_CellVar.txt",head=T,row.names = 2)
testData[1:5,1:3]
</code></pre>
<p>ClustID Genes.Symbol ChrLoc</p>
<p>NM_001034168.1 4 Ank2 chrNA:-1--1</p>
<p>NM_013795.4 4 ... | g65620 | [
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<p>I'm looking for an SPSS or Excel macro/syntax that will allow me to compute Duval and Tweedie’s trim and fill procedure (see paper here: <a href="http://onlinelibrary.wiley.com/doi/10.1111/j.0006-341X.2000.00455.x/abstract" rel="nofollow">http://onlinelibrary.wiley.com/doi/10.1111/j.0006-341X.2000.00455.x/abstract</... | g65621 | [
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<p>I'm currently assessing the best option for looking at some community composition data, and determining how they differ among locations. Ultimately, as I'm simply looking to see if there is a difference depending on site (4 level factor), I was looking at Permanovas. Does anybody have any good references which expla... | g65622 | [
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<p>I am trying to use Robert Shiller's stock market data to estimate future 5 year returns.
My first naive attempt used M5P in Weka (decision tree regression) with 60% of the data for training and 40% for validation. This gave a model with 120 rules and an excellent fit, but it is clear that the validation set is "nea... | g65623 | [
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<p>I have to conduct an experiment getting data from a system. These data are the estimated values, provided by the system, of a true value that we know beforehand. I then compare the estimated values with the true value to analyse how accurate the estimations of the system are.</p>
<p>In this context, we have a set o... | g65624 | [
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<p>My question is , I have a set of plain text , i want to create category based on the text.
Eg: i have written something about Soup recepie then the algorithm must create a category called Food. After it creates, features are extracted and stored in food category. Next time the text that contain something of that fea... | g65625 | [
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<p>My input vector is a 130*85 matrix and my target vector is 130*26 matrix. I am using the below parameters for training the network with 60 hidden nodes.</p>
<pre><code> net.trainParam.max_fail = 50;
net.trainParam.min_grad=1e-10;
net.trainParam.show=10;
net.trainParam.lr=0.01;
net.... | g65626 | [
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<p>I have a computer science background but am trying to teach myself data science by solving problems on the internet. </p>
<p>I have been working on this problem for the last couple of weeks (approx 900 rows and 10 features). I was initially using logistic regression but now I have switched to random forests. When I... | g65627 | [
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<p>I want to ask whether I can run Expectation Maximization (EM) method in SPSS to replace ALL missing values of ALL constructs at one run, or I have to do for each construct separately?</p>
<p>Thank you</p> | g65628 | [
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<p>I'm wondering if anybody can point me to work on the evaluation of unsupervised learning where there are a very large (say hundreds of millions) number of points and manual labelling can only ever be obtained for a small fraction of the points.</p>
<p>To elaborate, most clustering evaluations assume gold standard l... | g65629 | [
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<p><strong>Context</strong></p>
<p>An experiment in agronomy whose aim is to investigate the possible effect of a treatment, with 13 possible levels, on the height of trees. </p>
<p><strong>Model</strong></p>
<p>$
Y_{ijk} = \mu_{\cdot \cdot \cdot} + \alpha_{i} + \beta_{j} + \gamma_{k(j)} + (\alpha \beta)_{ij} + \ep... | g65630 | [
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<p>I'm using R to test some distribution families to my data.
I've done KS, AD tests and determined the loglike.</p>
<p>For one of the data the indications given by KS and AD do not agree with the ones given by the loglike:</p>
<pre><code>Table: p-values
Test Normal Log-normal Gamma Logistic Weibull Gumbel
... | g65631 | [
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<p>I have fitted a probit model for an ordinal response and a number of predictors, using polr function in R. Now I want to use this fitted model in order to sample from the conditional distribution of the ordinal variable, given a set of specific values for the predictors. I was thinking of using multinomial distribut... | g47153 | [
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<p>I am not a trained statistician but I am trying to improve on my own MBA thesis which was essentially regression analysis of the factors affecting opening <strong>cinema box-office</strong> in the UK. </p>
<p>I am now trying to look at the mix of marketing channels used by distributors, specifically <strong>TV, Pr... | g24288 | [
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<p>(Let me preface this by stating that I am somewhat of an R newb and also a LMM newb.)</p>
<p>I have a very, very simple research question. I have a continuous outcome variable ("HAPPY"). I have two factors that divide my sample into 4 cells (Factor1, Factor2), and I want to assess whether there are any main effects... | g44344 | [
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<p>I am solving classification problem using pairwise-learning training set.
We have 2 classes: <em>bad</em> and <em>good</em>.
We also have pairs of objects $(a_i,b_i)_{i=1}^n$, meaning that object $a_i$ <em>is better</em> than $b_i$.
Each object is described through its real coordinates: $a_i = x_i^1, x_i^2, \dots x_... | g24291 | [
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<p>I have a slight confusion regarding <strong>seasonal</strong> models and which polynomial to use for conducting unit root tests. </p>
<p>Given a model:</p>
<p>$\phi(B)\Phi(B^s)\Delta^d\Delta^D_S X_t = \theta(B)\Theta(B^s)\epsilon $</p>
<p>When I compute the roots for unit root tests, <strong>which polynomials ... | g10891 | [
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<p>A friend of mine was telling me today about the need to mean adjust input variables to zero in order to "get rid of implicit intercept" or scale terms in the slope coefficients and to make their interpretation easier. He was stressing its use and even standardization by the weighted mean in a weighted regression. Bo... | g24297 | [
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<p>I am preparing a potential interview, which can involve detailed questions on linear regression and logistic regression. Besides going over the textbook, could you share some possible interview questions on these topics based on your industrial and education experiences? Thanks.</p> | g65632 | [
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<p>What is the simplest script for generating a beanplot (see <a href="http://www.jstatsoft.org/v28/c01/paper">article</a> published in the <em>Journal of Statistical Software</em>) in Matlab?</p> | g24300 | [
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<p>We sent out a survey to find if educational material about a type of surgery would potentially influence the decision of subjects. Prior to giving them this educational material we asked them demographic questions (e.g. sex, job, etc.), several questions on a 5 point scale to assess their priorities (e.g. "How impor... | g65633 | [
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<p>I am having a hard time to understand the value iteration derived from the Bellman equation:</p>
<p>$$V_{k=0}(s) = 0$$</p>
<p>$$\forall s : V_{k+1}(s) = \max_a \Bigr[ R(s,a) + \gamma \sum_{s'} P(s'|s, \pi(s)) V_k(s') \Bigr]$$</p>
<p>I am trying to understand this on a concrete example I have thought of: A maze an... | g65634 | [
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<p>I am associated with a teaching hospital, and medical students are frequently administered tests and measures to monitor their progress. I am not talking about exam results here, but of psychological measures that do not figure on their transcripts. For "ethical" reasons, researchers typically need to annonymize the... | g22224 | [
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<p>I have a dataset with all multinomial (categorial) variables. The column names look like:</p>
<p>religionID, occupationID, sexID, ..., changedID</p>
<p>The independent variables are: "religionID" (a factor with 7 levels), "occupationID" (a factor with 3 levels), .... There are 15 total, all factors with multiple l... | g65635 | [
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<p>For a problem where I have tens of thousands of different classes, wouldn't it be very inefficient to use the typical multiclass methods? If I were to do one vs all, wouldn't that mean that I have would have to run through every individual classes before determining if a new set of data belongs to a certain class? T... | g65636 | [
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<p>I'm working on a project in which I use a 'Generalized Spatial Two-Stage Least Squares' model, mostly known as</p>
<p>$y= X \beta + \lambda W y + u$ and $u = \rho M u + \epsilon_n$</p>
<p>where $y$ and $u$ are vectors.</p>
<p>The beta's are the general regressionparameters (for instance, from linear regression). ... | g24305 | [
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<p>I am trying to create a tennis simulator. Specifically I am trying to make a 'random' simulator so that I can see how many times streaks of wins or losses occur, and then compare this to historical data to see if 'The Hot Hand Effect' exists or not. i.e. Do streaks of wins or losses occur more or less often than wou... | g65637 | [
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<p>Often times, several theorems in mathematical statistics depend on regularity conditions. </p>
<p>For example, there is a theorem that states:</p>
<p>"Let $\hat{\theta}_n$ be the maximum likelihood estimator of $\theta$ based on the sample $X_n = (X_1,...,X_n)$, then under <strong>regularity conditions</strong>, $... | g65638 | [
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-0.030301643535494804,
0.009268710389733315,
-0.04545414075255394,
0.017031598836183548,
-0.031561076641082764,
0... |
<p>What's the best SVM implementation of SVMs in MATLAB? Right now I'm looking at PEGASOS and SVM-Perf, which both claims to have good performance with large datasets and classes. But there are so many implementation out there, and I definitely missed some. Can I get some other recommendations?</p>
<p>My application i... | g24307 | [
0.06420593708753586,
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<p>I have pre and post data from a working memory test (following an intervention) that I am going to use in a mixed ANOVA. I have log transformed my post data because it was skewed, adding on 10 because of minus numbers, must I also log transform my pre data, even though it isn't skewed, and add on 10 in the process? ... | g65639 | [
-0.03691910579800606,
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-0... |
<p>When you plot a kmeans model (in R) with the plotcluster() function, it plots the clusters against the axis of the 1st and 2nd discriminant components (dc). </p>
<p>In reading about these axis- some state the dc is not that much practical difference from the 1st and 2nd principal components. Other places seem to gi... | g23158 | [
0.0030847222078591585,
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<p>In a paper of Journal of Chemometrics (Naes & Mevik 2001 : Understanding the collinearity problem in regression and discriminant analysis), the authors propose to make simulations by creating two groups which are different with respect to the smallest eigenvector direction.</p>
<blockquote>
<p>Here the groups... | g65640 | [
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0.0136... |
<p>Here is my situation:
- A huge amount of data
- 600 features
- Only one class is provided
Now, my question is how can I reduce the number of features to important ones? In another word, all of these features (with data) are intending to predict only one class. but some of features have large impact on the prediction... | g24311 | [
-0.020984267815947533,
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0.09281476587057114,
0.07... |
<p>I have a question about how to tell two different mixed effects models apart. In the simple case both involve fitting a model with a random group effect and a covariate. I fit the model with <code>lme4</code> in <code>R</code>. Here is a visualization of the two different scenarios.<br>
<img src="http://i.stack.im... | g24312 | [
0.008442790247499943,
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0.0207882... |
<p>I'm having difficulty solving the following problem:</p>
<blockquote>
<p>Given the covariance matrix Rxx = [1 0.2 ;0.2 1] for a zero-mean
random vector X, find two different transformations of the form Y = AX
such that the components of Y are uncorrelated.</p>
</blockquote>
<p>I suppose X cannot be derived b... | g65641 | [
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<p>I have 80 chemical batches, each of which has 8 associated measurements like pH, viscosity, etc. Is there a way to use Principal Components Analysis or Factor Analysis to group the similar batches together? I know I can use cluster analysis, but I want to have a different visual representation of batch groups othe... | g65642 | [
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<p>We have n actors. Each actor chooses from n*2 actions. How can I calculate the probability that at least one actor will choose a unique outcome?</p>
<p>For example, say we have 5 pickup artists in a town with 10 bars. Each PUA chooses a bar at random. What are the odds that at least one PUA will have a bar to himse... | g66 | [
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<p>I have about 30000 particles distributed (not randomly) in space; I have their vector positions and velocities.
I'm trying to characterize if and how the (underlying) velocity (magnitude) distribution these particles are assumed to sample changes on different scales.
The underlying velocity distribution is of unknow... | g65643 | [
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... |
<p>I am developing a two variable multiple regression model.
ie.
$$ Y = b0 - b1 * X1 + b2 * X2 $$</p>
<p>I am using the following formula for partial F-test from <a href="http://luna.cas.usf.edu/~mbrannic/files/regression/Reg2IV.html" rel="nofollow">http://luna.cas.usf.edu/~mbrannic/files/regression/Reg2IV.html</a> u... | g65644 | [
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0.02468034066259861,
0.013345110230147839,
0.026857424527406693,
... |
<p>I am working on channel modeling for cognitive radio using HMM. I've written a MATLAB program for forward, backward and Baum-Welch algorithm for multiple sequences. After given some random input and running the program for 1000 to 4000 iterations I'm getting some results. But I'm not getting how to interpret my resu... | g24320 | [
-0.05280422791838646,
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0.020759547129273415,
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0.... |
<p>I'm trying to do A/B testing the Bayesian way, as in <a href="http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter2%5fMorePyMC/MorePyMC.ipynb" rel="nofollow">Probabilistic Programming for Hackers</a> and <a href="http://engineering.richrel... | g65645 | [
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... |
<p>I am interested in deepening my Asymptotic Theory understanding. My current knowledge is that of a typical PhD student (from a decent University), say at the level of Green's textbook. Are there any good book(s) that you would recommend?</p>
<p>Much appreciated. </p> | g65646 | [
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0.06302213668823242,
0.05097339302301407,
0.010116771794855595,
0.11806485801935196,
-0.01... |
<p>I need the U values of Mann-Whitney test, but the wilcox.test in R outputs only W values. I do not think they are identical, so here is my question - how to convert W to U?</p> | g49665 | [
0.0034154613967984915,
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0.005087825935333967,
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0.013849955052137375,
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<p>The Likert scale is being used during a telephone survey to gather patient responses to 5 statements regarding educational material provided during his or her surgical experience.
The scale ranges from 1 (strongly agree) to 5 (strongly disagree). An example of the statement may appear as, "The day surgery nurse pro... | g49730 | [
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0.034249600023031235,
0.04301481693983078,
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0.016066089272499084,
0.047... |
<p>Suppose we have some data, $\{y_i, x_{1i}, \dots, x_{ki}\}_{i=1}^n$ and we want to build a linear model of the form $y_i = \beta_0 + \beta_{1'i}x_{1'i} + \dots + \beta_{k'i}x_{k'i} + \epsilon_i$, where the primed indexes are a subset of $\{1,\dots, k\}$. There are $2^k$ possible models to choose from. Now if we rand... | g24325 | [
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0.016348738223314285,
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0.01563381403684616,
0.03060847334563732,
... |
<p>I am finding it hard to understand Gaussian Processes. Can someone please explain it here in an accessible way? I do understand what Gaussian distribution is but couldn't understand Gaussian Processes. Or if you could provide some great resources to quickly learn about it.</p> | g65647 | [
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0.02766280248761177,
0.03655676543712616,
0.008... |
<p>I have two time series $P_i$ and $T_i$ where $i = 0...t$</p>
<p>Now the correlation between the time series ${\rm corr}(P,T)\sim.95$, but the correlation between the derivative of the time series ${\rm corr}(dP, dT)\sim.5$
where $dP = P_i - P_{i-1}$ for all $i$.</p>
<p>I'm trying to interpret this but can't come u... | g24326 | [
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<p>Basically, I am trying to have a recommender system based on SVD for a Boolean utility matrix. ie If at all some entries are present in the utility matrix, they will be 1 (I made it pseudo-implicit from explicit ratings available from the Movielens dataset). I used the 'irlba' package in R to compute the partial SVD... | g65648 | [
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0.024877360090613365,
0.002485083881765604,
0.03658590465784073,
0.05201674625277519,
0.00... |
<p>Suppose we have $N$ approximately normally distributed continuous random variables $X_1, X_2, X_3, \ldots,X_N$, each with an unknown mean and variance. I'd like to find the random variable with the highest mean.</p>
<p>Given a fixed budget of measurements $K$, how do I assign these measurements to maximize my chanc... | g44402 | [
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0... |
<p>As a follow-up to my <a href="http://stats.stackexchange.com/questions/43842/transform-data-to-a-higher-dimensional-space">previous question</a>, I want to use Fisher's classification method (I mean, projection method) to project the data given the fact that the two classes are normally distributed. How to approxima... | g24332 | [
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0... |
<p>I have insolation data for several years on which I want to do some calculations. First, I'd like to determine the level of reliability I can achieve in my posterior calculations.</p>
<p>For several references, my first option was use Thom non-parametric test (1966), suggested for data without known distribution, o... | g44403 | [
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0.02288924716413021,
0.01631171628832817,
-0.0296... |
<p>The classes are as follows:</p>
<p>$C_1=\{3, 3.5, 4, 4.5, 5, 5.5, 7\} \cup \{15, 16, 17\}$</p>
<p>$C_2=\{0,0.5,1,2\}\cup\{8,9,10,11,12,13\}\cup\{20,25,30\}$</p>
<p>And we wish to classify numbers from the interval $[0,40]$. I think since they are not linearly separable (the two classes in a one dimensional input ... | g65649 | [
0.017620272934436798,
0.016537746414542198,
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-0.012915315106511116,
-0.025222769007086754,
0.01069344487041235,
0.03423135727643967,
... |
<p>Lets say we are looking to estimate the following standard OLS regression: </p>
<p>$y_{i} = \beta_{0} + \beta_{1}*X_{i} + \beta_{2}*Z_{i} + \epsilon_{i}$</p>
<p>and that we choose to standardize $X$ as: $X^{*}=((X_{i} - \mu)/ \sigma)$. Suppose we now instead estimate the following regression: </p>
<p>$y_{i} = \b... | g65650 | [
0.006778280716389418,
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0.057750403881073,
0.018327059224247932,
-0.... |
<p>I am currently trying to get my head around some things concerning parametric bootstrap. Most things are probably trivial but i still think i may have missed something.</p>
<p>Suppose i want to get confidence intervals for data using a parametric bootstrap procedure.</p>
<p>So i have this sample and i assume its n... | g65651 | [
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0.012308982200920582,
-0.029680458828806877,
0.038552604615688324,
0.02... |
<p>I want to compare BRT and averaged glm models on test sets by calculating the explained deviance and RMSE.
How can I calculate d2 and RMSE from predictions?<br>
I use the following functions:</p>
<blockquote>
<p>gbm1 <- gbm.step(data=ahe2,
gbm.x = c(2,4:5,7:9,11),#15
gbm.y =... | g65652 | [
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0.007986380718648434,
0.008080913685262203,
0.07365677505731583,
0.05552676320075989,
-0.... |
<p>I want to run a logistic regression were the file is split on a certain value, namely key (major and minor) and I want to see if the other values are able to predict the ranking of a song. But I have no clue how to split the file and run the analysis.
So please help me.</p>
<p>Kind regards,</p>
<p>Dionne </p> | g65653 | [
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0.02317633666098118,
-... |
<p>I have a collection of data which is inherently the same (would expect it to follow the same distribution) where some of it is rated with one scale of ordinal ratings and the rest of the data is rated with another scale of ordinal ratings. One scale has a larger number of possible ratings than the other. So, if I ... | g37621 | [
0.02142249420285225,
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0.0031141811050474644,
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0.03719305247068405,
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0.09866001456975937,
-... |
<p>I have a sparse matrix. There is lots of missing data. Hence, I can't use SVD naively. </p>
<p>I read Koren's SVD++ paper. I'm confused as to how the $q_i$ and $p_u$ vectors are determined. $q_i^Tp_u$ is supposed to capture the interactions between user $u$
and item $i$ (plus some biases). I just don't see how to c... | g65654 | [
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0.08708438277244568,
0.... |
<p>I am dealing with non statistician who know are crunching data but don't have a deep understanding of statistics. </p>
<p>I am trying to introduce them to non-matrix factorization methods but it has been hard. Since, people avoid leaving their comfort zone ! In my case, my co-workers have been working with hierarch... | g65655 | [
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0.0164... |
<p>First of all, sorry i am new about this and any helps are really welcome.</p>
<p>I am reading a reaserch paper where the authors report: <em>Stepwise forward regression (Zar 1996) was used to select the most informative variables, which were included in a multiple (linear) regression model. A 5% significance level ... | g24345 | [
-0.004608130548149347,
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0.005395121872425079,
0.06702755391597748,
... |
<p>I have the following sample:</p>
<pre><code>x <- c(rep(1, 8), 0, 1, 0, rep(1, 5), 0, 0, 1, rep(0, 11), 1, 0, 0, 1, 0)
> x
[1] 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0
</code></pre>
<p>The <code>1</code> and <code>0</code> are actually factors of a nominal variable and the sample ... | g29210 | [
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0.06715568900108337,
-0.008614812046289444,... |
<p>I'm having trouble with rpar argument in the mlogit function (package mlogit).</p>
<p>My dataset looks like this:</p>
<pre><code>> head(scan.s)
year id.scan day weather sealvl wave lact repro nb.gr HS nb.pv pup act
1 2011 1 4 2 0.30 3 1 0 0.6666667 7.600000 3 0 R
2... | g65656 | [
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0.... |
<p>I'm doing a binary classification using K-nearest neighbor method. However when I look at the training data, 80% of the data is from category 2, and only 20% is from category 1. </p>
<p>Is it bad when you try to learn from that data? I feel like most of the prediction go to category 2.</p> | g39262 | [
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<p>I am narrowing down on some more solid idea of what MLE is, and what we use it for. </p>
<p>I keep running across different perspectives from different sources.</p>
<p>Some places, I read that maximum likelihood is a method for estimating parameters of a distribution, given we have some data.</p>
<p>Other places,... | g65657 | [
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<p>Suppose you know there is measurement error in your system but you don't have any idea what the variance is. In my specific case I have a nonlinear model</p>
<p>\begin{align}
y_i&=\epsilon_i f(\beta,x_i)
\end{align}</p>
<p>where $\epsilon_i$ is log-normally distributed with mean 1, and
\begin{equation}
f(x,\b... | g65658 | [
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0.0483241006731987,
0.005839297082275152,
... |
<p>I have a response variable that can be $A,B,C$. It is very sparse, meaning 99% of the sample is $B$ and the rest is approximately evenly divided between $A$ and $C$.</p>
<p>How do I predict this variable in a random classification forest? I am looking for guidelines:</p>
<ul>
<li>Can I use the standard classificat... | g65659 | [
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0.011913364753127098,
0.0096... |
<p>I need to use SVM classification to build a model that predicts a binary code</p>
<p>My given data is in the form: <code>(feature vector, associated bit )</code>, and contains 5000, 200-dimensional feature vectors.</p>
<p>I have tried to use a <code>libsvm</code> solution with its associated data file heart_scale,... | g65660 | [
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... |
<p>I was reading an entry level statistics textbook. In the chapter on maximum likelihood estimation of the success proportion in data with binomial distribution, it gave a formula for calculating a confidence interval and then nonchalantly mentioned</p>
<blockquote>
<p>Consider its actual coverage probability, that... | g65661 | [
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<p>I’d like some advice on my options for modeling features (to be used in R) in the following scenario:
I want to make a binary prediction using the positions of the planets as the predictors (the X’s). My issue is how best to model the planet positions to allow them to be used by functions such as randomForest and S... | g65662 | [
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0.0672653391957283,... |
<h1>Big Picture:</h1>
<p>How can I implement partitioned Chi Square in R? I understand how to perform the overall Chi square, and then how to get individual parameters (observed counts, expected counts, residuals, etc.). However, I don't understand how to get p values for each individual comparison.</p>
<h1>Details... | g65663 | [
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0.02339884079992771,
0.012149184942245483,
0.0117... |
<p>I'm studying unit root tests and therefore the Dickey Fuller test and I can't seem to figure the following out.</p>
<p>Is it correctly understood that the Dickey Fuller test (with drift and constant) is designed such that under the alternative the data generating process is</p>
<p>$$y_t=c+\lambda t+\alpha y_{t-1}+... | g65664 | [
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0.... |
<p>In order to measure precisely the influence of one variable $Y$ over $X$ I wanted to use the mutual information because so far I believed that correlation coefficient (Pearson) was only limited to linear relation.</p>
<p>But I realized that even in non-linear cases it gives good results.</p>
<p><strong>Example in ... | g65665 | [
0.009199085645377636,
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-0.0018180269980803132,
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0.0192265585064888,
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-0.007337930146604776,
0.013595478609204292,
-0.008688520640134811,
-0.026438871398568153... |
<p>Let $A$ be a finite set and suppose we want to compute the size of some subset $X$.</p>
<p><em>Motivation</em>: If we can generate elements $x$ of $A$ uniformly at random, then we can estimate the size of $A$ by random sampling. That is, we take $n$ random samples from $A$, if $m$ of them belong to $X$, then $|X|/... | g65666 | [
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0.007459612097591162,
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0.03234264999628067,
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... |
<p>I have a time serie that I want to analyse through a wavelet decomposition.<br>
I am using the R package <strong>WaveThres</strong>. </p>
<p>I am interested in the wavelet autocorrelation, but I struggle to understand what does it mean precisely.</p>
<p>I have from the book <a href="http://www.springer.com/statis... | g44439 | [
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0.004994635470211506,
0.019792141392827034,
0.... |
<p>Consider a series like CPI (inflation), which I know is composed of a series of component prices (e.g. meat prices, grain prices, non-food prices, etc.), which in turn are also composed of a series of component prices (e.g. average meat prices are a combination of pork, beef, and chicken prices).</p>
<p>If I wanted... | g65667 | [
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0.008869229815900326,
0.04647146165370941,
0.04048959165811539,... |
<p>I'm currently looking at the unconstrained primal form of the one-vs-all classifier</p>
<p>$$\sum\limits_{i=1}^{N_I} \sum\limits_{k=1,\atop k \neq y_i}^{N_K} L(1+ \mathbf{w_k}\cdot\mathbf{x_i}-\mathbf{w_{y_i}}\cdot\mathbf{x_i})$$</p>
<p>where </p>
<p>$N_I$ is the number of instances, <br/>
$N_K$ is the number of ... | g65668 | [
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0.015949668362736702,
0.027147581800818443,... |
<p>So, I have 16 trials in which I am trying to authenticate a person from a biometric trait using Hamming Distance. My threshold is set to 3.5. My data is below and only trial 1 is a True Positive:</p>
<pre><code>Trial Hamming Distance
1 0.34
2 0.37
3 0.34
4 0.29
5 0.55
6 0.47
7 0.47
8 0.32
9 0.39... | g65669 | [
0.0260978601872921,
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0.0000046829763959976844,
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0.0020189692731946707,
0.0009424773161299527,
0.06571386009454727,
0.0478668175637722,
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-0.014916354790329933,
-0.042950864881277084,
0.0422646626830101,
0.0078034782782197,
-0... |
<p>For classification, what theoretical results are between cross-validation estimate of accuracy and generalisation accuracy?</p>
<p>I particularly asking about results in a PAC-like framework where no assumptions are made that your function class contains the "true" function.</p>
<p>I would love to know if there ar... | g65670 | [
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0.021010925993323326,
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0.0034555112943053246,
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... |
<p>I have three GLM models (poisson distribution) that each have different factors but the same response variable. I plan to compare the fit of the models using AIC, but first I want to see if any of the models are significant according to a p value. Is is possible to get a p value for a whole model w/glm? Each model h... | g37914 | [
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0.01212687324732542,
0.01801876537501812,
0.... |
<p>Disclaimer: Statistics is not exactly something I am particularly good at. So if this is a stupid question, I do apologize </p>
<p>I have been using non-linear regression to analyze binding between two biomolecules. Each individual experiment was done in triplicate. The average of these triplicate values (with ass... | g44445 | [
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0.01899057812988758,
0.038340095430612564,
0.03340646252036095,
0.02842782996594906,
-... |
<p>I am looking at calculating the entropy of a multivariate noncentral t-distribution.</p>
<p>I found in the central case (mean is zero) the entropy is the same as multivariate normal with a correction for degrees of freedom (ie only depends on covariance and $\nu$). But in the noncentral case the extra term is a mor... | g14799 | [
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0.03565879166126251,
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0.000376732787117362,
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-0.0... |
<p>I have created a Rscript for illustrating my question:</p>
<pre><code>library(epicalc)
temp.df <- data.frame(x=1:100,y=log(1:100))
set.seed(1)
temp.df[,"y"] <- temp.df[,"y"]*sample((10000:10100)/10000,size=100,replace=TRUE)
temp.df[temp.df[,"x"]<=15,"x_gp"] <- "<=15"
temp.df[temp.df[,"x"]>15,"x_g... | g65671 | [
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0.03854425996541977,
0.00774900708347559,
0.05936487019062042,
-0.0... |
<p>Here is the complete question:</p>
<p>A club consists of $4n$ people of half men and half women. A woman is elected as the chair of a committee from this group. As all members are equally talented, she prefers to select
additional $n$ people at random from the remaining $4n-1$ people to work with her for a particul... | g65672 | [
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0.04943704232573509,
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0.03378727287054062,
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0.03126... |
<p>I am trying to plot the ROC curve for a random forest model (<code>ROCR</code> package), and I am getting weird results. I have double-checked the code several times, but I can't figure out why the functions give out an AUC of 1 and a perfect ROC curve. If I do the same with the data included in the package (<code>R... | g4831 | [
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0.021839627996087074,
0.047117263078689575,
-0.... |
<p>I'm developing a multivariate logistic regression model for a large healthcare dataset (100 million+ rows of demographic and diagnosis columns) where the event in question, an inpatient admission day, occurs infrequently - say for every 10,000 patient days there may be only 100 IP admit days.</p>
<p>The sheer size ... | g65673 | [
0.0000043419036046543624,
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0.05089786276221275,
0.010693280957639217,
0.027134740725159645,
... |
<p>Momentum $\alpha$ is used to diminish the fluctuations in weight changes over consecutive iterations:</p>
<p>$$\Delta\omega_i(t+1) = \omega_i - \eta\frac{\partial E}{\partial w_i} + \alpha \Delta \omega_i(t),$$
where $E({\bf w})$ is the error function, ${\bf w}$ - the vector of weights, $\eta$ - learning rate.</p>
... | g65674 | [
0.017946559935808182,
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0.07068754732608795,
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0.025710849091410637,
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0.0006842033471912146,
-0.01942552626132965,
0.044509124010801315,
0.03381725400686264,
0.058... |
<p>I have a data set with 561 observations.
I want to compare two groups on an outcome measure with 3 categories.
I have a couple of covariates.</p>
<p>I used the following syntax (Stata SE 12.1):</p>
<pre><code>mlogit outcome_measure covariate_1 covariate_2 i.covariate_3 i.covariate_4 group
</code></pre>
<p>To chec... | g65675 | [
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0.0020703787449747324,
0.01151646301150322,
0.04262412339448929,
0... |
<p>I have a question on categorical data - </p>
<p>I have a 2x4 matrix and I want to test the difference in the number of males or females in each group, and so I entered the data into R. </p>
<p>So I input this:</p>
<pre><code>A=c(31,7)
B=c(8,1)
C=c(39,16)
D=c(2,6)
tab=as.table(cbind(A,B,C,D))
row.names(tab)=c('mal... | g24365 | [
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0.0660601481795311,
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0.018820876255631447,
0.022655539214611053,
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-0.0163319930434227,
-0.024259954690933228,
0.05388655513525009,
0.048310767859220505,
0.0... |
<p>As a newbie in Machine Learning, I have a set of trajectories that may be of different lengths. I wish to cluster them, because some of them are <strong>actually the same path</strong> and they just <strong>SEEM different</strong> due to the noise. </p>
<p>In addition, <strong>not</strong> all of them are of the <s... | g65676 | [
0.06844881922006607,
0.020657993853092194,
0.005726785399019718,
0.032889071851968765,
0.028674939647316933,
-0.037309177219867706,
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0.003047277918085456,
0.020495401695370674,
-0.026038074865937233,
0.0952770859003067,
0.... |
<p>I have a dataset where the target variable = Y to N ratio is highly skewed around 1% (events/successes) and 99% (non events/failures). I need to detect patterns using the independent variables which distinguish the events from non-events, in my target variable. </p>
<p>As of now from the original input data which h... | g65677 | [
0.0020274766720831394,
-0.04651809111237526,
-0.020840546116232872,
0.025404317304491997,
0.031767554581165314,
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0.052548836916685104,
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0.016482284292578697,
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-0.015078390948474407,
0.05935074761509895,
0... |
<p>I'm using the nnet package in R to attempt to build an ANN to predict real estate prices for condos (personal project). I am new to this and don't have a math background so please bare with me.</p>
<p>I have input variables that are both binary and continuous. For example some binary variables which were originally... | g24367 | [
0.0314473882317543,
-0.004913769196718931,
-0.005313945934176445,
-0.04207687824964523,
0.028317399322986603,
0.002740889322012663,
0.03129466250538826,
0.03193141892552376,
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-0.0028734731022268534,
-0.006382219959050417,
0.021940721198916435,
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-0... |
<p>I have data in the form of these columns:</p>
<pre><code>date, x coordinate, y coordinate, value A, value B, value C, value D, etc.
</code></pre>
<p>(I don't see the possibility to copy an Excel table into this text so I show just the headers of the columns)</p>
<p>Now I have read and Googled a lot already but I... | g165 | [
0.020442325621843338,
-0.06632719188928604,
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0.03668028861284256,
0.025670479983091354,
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-0.05163521319627762,
0.04423340782523155,
0.02554520033299923,
0.07592206448316574,
-0.01... |
<p>We want to select one out of a given set of (continuous) functions that best matches a set of observations $\{(s_i,c_i) \mid 1 \leq i \leq N\} \subseteq\mathbb{N} \times \mathbb{N}$ (input size and counter) of unknown distribution. We have many observed counters per size¹.</p>
<p>So far, we have used least-square f... | g44461 | [
0.025193914771080017,
-0.001525713480077684,
-0.003578839125111699,
-0.06720422208309174,
-0.04683702439069748,
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0.03564661741256714,
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-0.010510766878724098,
0.01836515963077545,
0.014276905916631222,
0.04232579097151756,
0.0... |
<p>In OLS regression, I find the semipartial correlation (a.k.a. part correlation) to be a very useful indicator. When squared, it shows each predictor's unique contribution to explained variance in the outcome. If one tries several models, entering predictors in various orders, the semipartial correlation will alway... | g65678 | [
0.019976941868662834,
-0.005220252089202404,
0.01789378933608532,
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0.03484936058521271,
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0.044255517423152924,
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0.03268544003367424,
0.006... |
<p>Is likelihood ratio test ($F$-test) of significance of difference of two linear models the same as chi-square test of difference of $-2\log L$?</p>
<p>SAS <code>PROC GLM</code> produces $F$-statistics and <code>PROC MIXED</code> $-2\log L$.</p> | g44464 | [
0.03136837109923363,
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0.00450743455439806,
0.026273978874087334,
0.04956610128283501,
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0.052009083330631256,
-... |
<p><a href="http://en.wikipedia.org/wiki/Spearman%27s_rank_correlation_coefficient#Determining_significance">Wikipedia</a> has a Fisher transform of the Spearman rank correlation to an approximate z-score. Perhaps that z-score is the difference from null hypothesis (rank correlation 0)?</p>
<p><a href="http://www.sta... | g24371 | [
0.0071885534562170506,
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0.03943870589137077,
0.030703995376825333,
... |
<p>Recently I have opened a question here to understand the output of a GARCH model.
My goal is to understand if the series I'm checking is heteroscedastic or not.</p>
<p>I'm using the <code>garch()</code> function from the <a href="http://cran.r-project.org/web/packages/tseries/index.html" rel="nofollow">tseries</a> ... | g65679 | [
-0.00191212585195899,
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0.020596155896782875,
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0.027505384758114815,
-0.032414160668849945,
0.11961228400468826,
0.03300853446125984,
-0.0... |
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