question stringlengths 37 38.8k | group_id stringlengths 2 6 | sentence_embeddings listlengths 768 768 |
|---|---|---|
<p>Does anybody have any suggestions about promoting the use of a regression tree over a GLM when the two models fit the data almost exactly the same? </p>
<p>My team's current arguments are a) a tree is easier for non-technical people to understand and b) when the two models' predictions are implemented -simplified a... | g62823 | [
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<p>I was reading <a href="http://www.learner.org/courses/learningmath/data/pdfs/session5/mads_2.pdf">here</a></p>
<blockquote>
<p>the sum of the deviations about the mean will be 0, except for possible rounding.</p>
</blockquote>
<p>Could anyone explain me the what does it mean? I know about sum of deviations from ... | g20109 | [
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<p>I have the following R code:</p>
<pre><code>library("forecast")
library("rbenchmark")
v <- c(95.3, 96.8, 97.2, 97.9, 98.2, 98.5, 99.3, 99.9, 102.7, 104.2, 107.2, 109.3, 109.8, 110.5, 111.2, 111.6, 112.6, 113.5, 114.3, 115, 117.4, 119, 119.3, 120.1, 120.7, 121.1, 121.9, 122.2, 122.9, 124.6, 129.1, 128.8, 129.3, ... | g62824 | [
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<p>I am new to glmnet. I have over 15,000 predictors and a binary outcome for approximately 400 samples. I am having trouble finding sources online to describe explicitly if what I am planning to do is correct.</p>
<p>My current analysis plan includes:</p>
<ol>
<li><p>Obtain the training parameters.
Use the caret pa... | g20110 | [
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<p>I had the possibility to try some regression on Football data.</p>
<p>I receive the following ouput:
<img src="http://i.stack.imgur.com/zvY5v.png" alt="lm output"></p>
<p>I receive a quite good R² but I wonder if it´s important that the intercept has no significance and a rather high std. error.</p>
<p>I also get... | g20111 | [
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<p>I am working on a survey analysis looking at the effect of an intervention with three components (each having multiple sub-parts). Questions ask respondents how frequently they used each component. Two of the questions have scales ranging from 1 to 5 (never/rarely/often/almost always/always), while the other questio... | g62825 | [
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<p>How to find the following: </p>
<p>Let $X_1$, $X_2$, $X_3$,..., $X_n$, be i.i.d with chi-square distribution with one-degree of freedom. Find $a_n$ and $b_n$ such that $ a_n(\max_i X_i - b_n)$ converges in distribution to a nondegenerate random variable.</p>
<p>I thought about Central limit theorem but I don't thi... | g20115 | [
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<p>I run a few different projects throughout India and want to understand how many unique individuals I've provided services to total. I don't collect names or unique identifiers, so all I know is a) the amount of people that have accessed services per project and b) the total population of India, which can further be ... | g62826 | [
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<p>I am not sure what happens to a bivariate normal distribution when $|\rho| \rightarrow 1$. Is the distribution well defined then? Moreover, when
$$ \Phi \left(\frac{x_1}{\sigma_1}, \frac{x_2}{\sigma_2}, \rho \right) = 1 \text{ or } 0?$$
Namely, is it true that if $\Bigl \lvert \frac{x_1}{\sigma_1} \Bigr \lvert \le... | g20116 | [
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<p>I have a large dataset (>300,000 observations) that represent the distance (RMSD) between proteins. I'm building a regression model (Random Forest) that is supposed to predict the distance between any two proteins. </p>
<p>My problem is that I'm more interested in close matches (short distances), however my data di... | g4378 | [
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<p>I am a computer engineer, living in a digital world. I have no probabilistic background besides a probability course in the University and tried to grasp the Fisher's idea and have got the following questions.</p>
<p><strike>Why is this room called Ten Fold and Corss validation?</strike>
Wikipedia says that "To co... | g62827 | [
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<p>Does R's <code>manova</code> function assume homoscedasticity among all outcomes or only among the subgroups (according to the predictor) of each outcome?</p> | g62828 | [
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<p>I have a regression model that looks like the following</p>
<pre><code>glm.nb(formula = y ~ Gender + Age + x1 + x2 + x3, data = df)
</code></pre>
<p>In my problem, there are 20 possible choices of variables for <code>x1</code>, 20 possible choices for <code>x2</code>, and 20 possible choices for <code>x3</code>. ... | g62829 | [
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<p>I've got data as follows</p>
<pre><code>| Date | Turnover | Day of week | Max Temp |
-------------------------------------------------------------------
| 2013-07-08 | 133 | Monday | 22 |
| 2013-07-09 | 150 | Tuesday | 23 |
| 20... | g20119 | [
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<p>I re-edited this question for clarity:</p>
<ol>
<li>I have coordinates obtained by tracking birds with GPS (all points in plot). </li>
<li>I've used these points to perform <strong>kernel density estimation</strong> to reveal the areas with most dense bird activity (areas "1" and "2" in plot).</li>
<li>I also know ... | g62830 | [
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... |
<p>I have an exam tomorrow about statistics for genome analysis and I'm having some troubles with some questions from an example exam. All help would be very welcome!</p>
<p>These are the questions:</p>
<ol>
<li><p>The single step maxT procedure as explained in the course notes is a nonparametric exact correction and... | g20121 | [
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<p>The standard factor model formulation is</p>
<p>$y=W x+\epsilon$</p>
<p>where $x \sim \mathcal{N}(0, I)$, $\epsilon \sim\mathcal{N}(0, \Sigma)$. $W$ and $\Sigma$ are typically estimated from MLE. The solution can be obtained numerically; in general there are no analytical solutions.</p>
<p>Question: assume that $... | g62831 | [
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<p>This is probably pretty basic question, but how come I can get totally non-significant 3-way interaction, while all the marginal means are significant?</p>
<p>See the 3 way interaction in the table.</p>
<p><img src="http://i.stack.imgur.com/XcVUJ.png" alt="enter image description here"></p> | g109 | [
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<p>Why does this:</p>
<pre><code>fligner.test(a ~ b + c + d, data=df)
</code></pre>
<p>and this</p>
<pre><code>fligner.test(a ~ b + d, data=df)
</code></pre>
<p>always equal for whatever data.</p>
<p>In the meantime, this</p>
<pre><code>fligner.test(a ~ b + c + d, data=df)
</code></pre>
<p>and this</p>
<pre><co... | g62832 | [
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<p>I'm running a DnD campaign and made a Random NPC generator in Excel.
It's pretty slick, but the random height/weight calculator is... flat. RAND(X,Y) flat.</p>
<p>So I'd like to add some Bell Curve calculations, because why not.
I've entered the average min/max heights and weights for each race, and can easily calc... | g13414 | [
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<p>I'm working with dataset of individual households that I aggregate into 'areas' using several different spatial configurations, from smaller to bigger.</p>
<p>These areas are then characterized by four variables (two categorical, two continuous).</p>
<p>I'd like to see what effects these different aggregations hav... | g62833 | [
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<p>I have two normally-distributed independent random variables X and Y and I need to calculate its division Z. </p>
<p>As far as I understand the mean of Z is $\mu_Z = \frac{\mu_X}{\mu_Y}$, but I don't know how to calculate the Standard Deviation $\sigma_Z$. </p>
<p>Is $\sigma_Z = \frac{\sigma_X}{\sigma_Y}$?</p> | g49398 | [
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<p>As the classic CLT states Xs follow the same distribution, then the sum of Xs approximate to Normal distribution.
But what about several Xs follows different distributions (maybe the same class but not the same value of parameters or totally different kinds)?
It seems that the sum will become more central or even mo... | g34557 | [
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<p>Suppose I fitted a logistic model and get the estimates as well as their <code>vcov</code> matrix. I would realize this: draw length($\beta_s$) independent $\mathcal N(0,1)$ values to create a random vector $z$, then $\beta^*$=$\hat{\beta}+Az$ where $A$ is the upper triangular matrix of the Cholesky decomposition ma... | g62834 | [
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<p>I am currently reviewing a paper in which the authors perform the following analysis. They use the same set of independent variables to explain 3 different variables. The hypotheses are of the form: X has a stronger positive effect on Y1 than on Y2 and Y3.
The authors run separate regression models for the three DV'... | g62835 | [
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<p>Pardon my ignorance, for I have very basic training in statistics, but have never taken a regression course. </p>
<p>I ran an experiment where participants are in one of two conditions (between subjects). They categorized an object that had values for rotation and spacing, both ranging from 1 to 100. Each participa... | g216 | [
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<blockquote>
<p>Studies indicated that drinking water supplied by some old lead-lined city piping systems contain harmful levels of lead. It appears that the distribution of lead content readings for individual water specimens has mean .033 mg/L and SD .10 mg/L. </p>
<p>Explain why is it obvious that content re... | g62836 | [
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<p>Assume I have a word such as <code>statistics</code>, and research articles or text books about statistics. My question is how to detect top 100 related, highly associated words, with <code>Statistics</code>. </p>
<p>My intention to extract words from PDF documents and then determine top correlated words with <code... | g20138 | [
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<p>I have a sample of 12,500 observations and 12 explanatory variables. I want to build a pruning decision tree, to do that I am using the <code>rpart</code> function and then the <code>prune</code> function. My problem is that I am not sure how to build the full tree, I am using</p>
<pre><code>rpart(*, *, *, control ... | g20139 | [
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<p>I have data from an experiment in which participants had to respond to stimuli in two different conditions in a within-subject design. Obviously, I can fairly easily test for differences in accuracy between the two conditions. However, my initial idea was to check for differences in reaction times. When a subject in... | g62837 | [
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0.017020458355545998,
0... |
<p>Different methods of meta-analysis have different assumptions and one of the popular assumption that has been invoked so often is that of normal distribution. can we work out meta-analytic results without this assumption especially when a meta-analysis utilizes a number of studies scattered over a range of populatio... | g62838 | [
0.008131149224936962,
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<p>I am trying to evaluate an information retrieval approach. More specifically, it's a query expansion algorithm, based on topic distribution in retrieved documents.</p>
<p>I want to evaluate my approach using the world wide web. Since most (all?) evaluation approaches use a test collection, where the whole corpus is... | g62839 | [
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<p>I am running ANCOVA on SPSS using post-operation score (continuous) as Dependent variable, pre-operation score (continuous) as Covariate, and 2 groups (categorial 1&0) as Fixed factors. This is the usual scenario.
But can I add another 2 variables one is categorial (gender) and one continuous (age) to the Fixed ... | g62840 | [
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<p>I am a biologist and I have developed an algorithm that has the ability to identify and quantify fluorescent objects within the nucleus of a cell when imaged in a fixed state under a microscope. The program will first identity nuclei, then analyze each nuclei individually and determine a threshold which will be used... | g62841 | [
-0.016457322984933853,
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<p>I'm using permutation tests, based on <strong>random forest</strong> importance measures, to perform <strong>variables selection</strong> in my dataset. Using $99$ permutations, my permutation tests $p$-values are comprised between $0.01$ and $1$.</p>
<p>As I am using this procedure with more than $300$ covariates,... | g62842 | [
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0.03148892894387245,
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<p>I am reading a paper for robust, sparse PCA in which they propose a BIC-like criterion for selecting the appropriate value of the sparsity parameter $\lambda$. They define this as:</p>
<p>$$BIC(\lambda)=\frac{\tilde{RV}}{RV}+df(\lambda)\frac{log(n)}{n}$$</p>
<p>where $(\tilde{RV}, RV)$ refer to the total robust va... | g62843 | [
0.015747008845210075,
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<p>Most of you will have been entertained by the recent <a href="http://www.tylervigen.com/" rel="nofollow">blog post</a> showing how random things in the world correlate without, of course, necessarily being causally related.</p>
<p>Looking at those graphs, I was wondering in my mind whether, for two vectors X and Y ... | g62844 | [
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<p>I'm running a regression where the dependent (response) variable is a highly dispersed (slightly zero-inflated) count and the explanatory (independent or predictor) variables are continuous, counts as well as binary.</p>
<p>I read a couple of interesting contributions on this topic on SO (<a href="http://stats.stac... | g62845 | [
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<p>I want to see the significance between two group (One with Albandazole and without Albandazole) inrespect to their CT scane Resolution with three catories(Compltele,partially resolved, Calcified)</p> | g62846 | [
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<p>I am running a binary classifier at the moment. When I plot the ROC curve I get a good lift at the beginning then it changes direction and crosses the diagonal then of course back up, making the curve a tilted S like shape.</p>
<p>What can be an interpretation/explanation to this effect? </p>
<p>Thanks</p> | g4115 | [
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<p>I have two conditionally independent random variables $A$, $B$ such that
$$
P(A,B\mid C) = P(A\mid C)P(B\mid C) .
$$
I have to find posterior formula $P(C \mid A,B)$.</p>
<p>My result with a straigthforward application of Bayes rule is
$$
P(C \mid A,B) = \frac{P(B\mid C)P(A\mid C)P(A)}{P(A\cap B)} .
$$
with few va... | g62847 | [
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<p>I am attempting to run a MANCOVA of memory assessment data. My IV has three levels (no memory impairment, moderate memory impairment, and severe memory impairment). The covariate is education. The DV is 7 memory assessment scores, with the scores being recorded as either percentiles or scaled scores. </p>
<p>The pr... | g20152 | [
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<p>I am carrying out a mediation analysis using PROCESS in spss. According to Field a mediation effect occurs if the confidence intervals for the indirect effect do not include 0 - this is the case but the predictor to mediator pathway is non significant, although there is a sign effect for predictor to outcome, and si... | g20153 | [
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<p>I have a survey problem where the dependent variable (ordinal) is in Likert-type scale (i.e. 1 to 5 from most satisfied to most dissatisfied) and two sets of independent variables. One set has 7 IVs (almost the same scale but 1-5 scale) and a set of 5 IVs with a scale of 1-6, both ordinal. See <a href="http://stats.... | g49878 | [
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<p>I'm trying to understand a paper about electric load forecasting but I'm struggling with the concepts inside, specially the <strong>SARIMAX</strong> model. This model is used to the predict the load and uses many statistical concepts that I do not understand (I'm an undergrad computer science student -- you can cons... | g20155 | [
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<p>I've been busy on a work where I have to compare two financial econometrics models on the determinants of financial leverage (panel data).
These have only few control variables and the dependent variable in common, and some other independent variables differ.</p>
<p>So, these are:<br/>
1) $\text{Leverage} = a + bX_... | g10208 | [
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... |
<p>I work for a material stock holder. I am trying to quantify how the probability of not getting a specified minimum of gross profit, changes over time. This problem basically boils down to assigning probabilities to the set of future market prices. </p>
<p>I was hoping that I could use time series analysis on the co... | g62848 | [
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0.0... |
<p>Let $\theta \in \Theta \subseteq \mathbb{R^d}$ be the parameter of interest and let $\theta_0$ be the true population parameter value. Let $n$ be the sample size. </p>
<p>Let $CS_n$ be the confidence set for $\theta_0$ of level $(1-\alpha)$ obtaining by inverting a test, i.e.
$$
CS_n=\{\theta \in \Theta | T_n(\th... | g62849 | [
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0.... |
<p>I have a function obtained by fitting some data, and I do not have access to the data itself. The fitting parameters of the function have confidence bounds. I need to obtain an expression for the integral of this function with corresponding errors. </p>
<p>I have thought of solving the problem with a Monte Carlo ap... | g39297 | [
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<p>I know that in theory for regression both the Y and factors should be continuous variables. However, I have some factors that are discrete but show both correlation and would fit a regression model. </p>
<p>I am looking at energy consumption and my factors are the number of calls, the data transferred, temperature,... | g39298 | [
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<p>In fda package, function smooth.basis is used to construct a functional data object by smoothing data using a roughness penalty.
The usage can be found <a href="http://www.inside-r.org/packages/cran/fda/docs/smooth.basis" rel="nofollow">here</a>.</p>
<pre><code>smooth.basis(argvals=1:n, y, fdParobj, wtvec=NULL, fdn... | g62850 | [
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-0.011220325715839863,
0.03877522796392441,
0.0587652288377285,
0.10436178743839264,
0.01910... |
<p>I want to estimate the forward looking version of the Taylor rule equation using the iterative nonlinear GMM:</p>
<p><img src="http://latex.codecogs.com/gif.latex?i_t%20%3D%20%5Calpha%20+%20%281-%5Crho%29%5Cbeta%5Cpi_%7Bt+1%7D%20+%20%281-%5Crho%29%5Cgamma%20x_t%20+%20%5Crho%20i_%7Bt-1%7D%20&plus... | g98 | [
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0.039812736213207245,
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0.061502374708652496,
0.00478486903011... |
<p>For 86 companies and for 103 days, I have collected (i) tweets (variable <code>hbVol0</code>) about each company and (ii) pageviews for the corporate wikipedia page (<code>wikiVol0</code>). The dependent variable is each company's stock trading volume (<code>stockVol0</code>). My data is structured as follows:</p>
... | g62851 | [
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0.0358782634139061,
0.023837674409151077,
0.10795069485902786,
0.0... |
<p>I wondered if it is possible to calculate the inverse of an IRR like we can for odds ratio (inverse = 1/x). </p>
<p>For example: </p>
<p>IRR = 1.40, 95% CI = 1.18 -1.65</p>
<p>Inverse IRR:
= 1/1.40 = 0.71</p>
<p>Thank you
(Using Stata 11)</p> | g62852 | [
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0.0041712019592523575,
0.024649405851960182,
0.06145844608545303,
0.016723455861210823,
... |
<p>Given 3 phillips head screws, and assuming there are 5 different orientations that are possible when the screw is finally placed into the wood, what is the probability of all 3 screws having the exact same orientation/alignment ? In other words the slots of the screws are all lined up the same.</p> | g62853 | [
0.023869222030043602,
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0.058838341385126114,
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<p>I am analyzing an environmental data set containing one response variable (R) and many explanatory variables.</p>
<p>The explanatory variables are either factors (F1, F2, F3) or continuous variables (V1, V2, V3…).</p>
<p>I wanted to conduct a linear regression in the form lm (R~F1+F2+F3+V1+V2+V3+F1*F2+F2*F3…)</p>
... | g62854 | [
0.04101366549730301,
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0.03272068500518799,
0.01300444919615984,
0.020964365452528,
-0.04187285527586937,
0.0395912751... |
<p>I have one endogenous variable and two instruments for it, and I want to calculate my beta with the direct (one step) matrix formula</p>
<p>$\beta_2sls = X' Z(Z'X)^{-1}Z'X^{-1}X'Z(Z'Z)^{-1}Z'Y$</p>
<p>But if I have two instruments for one endogenous variable X and Z are not the same length.</p>
<p>Any ideas?
Than... | g62855 | [
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<p>I have performed an experiment to analyse the ratio of intronic versus exonic levels for 1000 transcripts after treated the cells with a drug and compare my results with untreated cells . Each transcript is equivalent to a gene, while intronic regions represent a part of the transcript that is rapidly remove and exo... | g62856 | [
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<p>I'm new to R, so please be gentle.</p>
<p>I was under the impression that <code>rstandard(model)</code> returns the z-scores of the residuals in <code>model</code>. However, when I standardized the residuals myself in z, the result was different. In fact, <code>rstandard(model)</code> had a mean different from 0 an... | g20168 | [
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... |
<p>I am very active at StackExchange's QuantFinance forum but thought this question is more suitable to be asked here. </p>
<p>I am generating large time series data and store them in-memory in Redis (alternatively could also save to disk in any format) and like to visualize the data efficiently as part of my data min... | g62857 | [
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<p>If the correlation between demographic dissimilarity and satisfaction is $r=.-14$ and the partial correlation, with career development partialled out, between demographic dissimilarity and satisfaction is $r=-.06$ across a very large sample of size $n$, what is the appropriate test to determine if these correlations... | g20169 | [
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0.0... |
<p>What are the advantages and disadvantages of running separate models vs. multilevel modeling?</p>
<p>More particularly, suppose a study examined patients nested within doctors' practices nested within countries. What are the advantages/disadvantages of running separate models for each country vs. a three level nest... | g20171 | [
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<p>I have a dataset of 371 observations. When I run <code>coxph</code> with numeric variables it works fine. However, when I try to add factor (categorical) variables it returns “Ran out of iterations and the model did not converge”.</p>
<p>Of note, when I restructure all factors to binary variables with dummy and use... | g62858 | [
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<p>I'm in the process of learning R, in the hope of replacing everything I do in SPSS/Sigmplot with R. It's going well so far :) I've got to the point of running a repeated-measures ANOVA, but have come unstuck when trying to plot the results</p>
<p>I've worked out how to plot a set of means using ggplot2, but now I'm... | g62859 | [
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<p>I ran a multinomial logit model in JMP and got back results which included the AIC as well chi-squared p-values for each parameter estimate. The model has one categorical outcome and 7 categorical explanatory vars.</p>
<p>I then fit what I thought would build the same model in R, using the <code>multinom</code> fun... | g20174 | [
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<p>When I read time series in a ts object and put a period:
1) tr <- ts(data[,4],frequency=).
This works for two different periods and decomposes perfectly to show (downward) trend, seasonality and error. How do I know which is the correct period.
2) When I use a ETS or STLF function in the forecast package on the ... | g62860 | [
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<p>I need to know the types of tests I need to be thinking about for this stats project. I will then go and look up the specific tests you recommend. The data is from all 50 states for the years 1960-2010.</p>
<p>I think the best way to illustrate the data is to show an example (I just made up numbers):</p>
<pre>
Sta... | g16278 | [
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0.00... |
<p>I understand that HMM models model language with Parts of Speech (POS) as hidden states and words as observations. These HMM models are usually learned from large text corpora, and many of these corpora are publicly available. Where can I find such models with their parameters, i.e., the list of POS or other hidden ... | g37935 | [
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0.0507279597222805,
-... |
<p>I have a dataset with 3 variables: A, B and C. Now, A and B are ordinal variables (i.e.; the result of two questions measured using a 5-point Likert), whereas B is continuous.</p>
<p>A and B are also correlated, Spearman rho = .50, p-value = 0.0046</p>
<p>I want to partition my dataset in 3 cluster using kmeans (t... | g20179 | [
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0.03791257366538048,
0.031212257221341133,
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0.01... |
<p>I'm using a neural network for a binary classification problem. Is it better to have one neuron in the output layer or to use two, i.e. one for each class?</p> | g20180 | [
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<p>I have this SAS code running a mixed model:</p>
<pre><code>proc mixed data = Data;
class Treatment SubjectID Technique;
model Time = Treatment;
random Technique;
random SubjectID(Technique);
lsmeans Treatment / cl pdiff=control('New') adjust=dunnett;
run;
</code></pre>
<p>I want to run this analysis in R... | g62861 | [
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<p>Suppose I have a big dataset and I compute some statistical summary of it - e.g., the correlation of one dimension with another.</p>
<p>I think a reasonable question to ask would be "what data points explain this result" - e.g., perhaps, is it because there were two huge outliers that explain the whole correlation?... | g62862 | [
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<p>My question is very straight forward. For a long time, I have been looking for an R package that contains commands on a very popular panel unit root test which assumes cross-section independence, but I have found none. The test is the Im-Pesaran-Shin (IPS) test. Any help will be highly welcome.</p>
<p>Thank you.</p... | g62863 | [
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0.0009322547703050077,
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<p>I have two lists containing X/Y values which are used to plot points on a graph. The X-values are always sequential (1, 2, 3, 4...) but the Y values can vary.</p>
<p>For example:</p>
<pre><code>var x = new List<int>(new[] {0, 1, 2, 3, 4, 5, 6, 7});
var y = new List<int>(new[] {0, 3, 7, 12, 14, 15, 17, ... | g62864 | [
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0... |
<p>I'm using PASWStatistics18 and K-Means clustering data that I'd previously clustered using an earlier version of SPSS... My problem is that I'm getting different cluster results depending on how the data file is sorted. I can't remember this being an issue in the earlier versions of SPSS, but I can't repeat the sam... | g6399 | [
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0.03495451807975769,
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-... |
<p>We are running a study which investigates platelet aggregation changes during three trimesters of pregnancy and postnatal period. Then, we compare each of these phases to control non-pregnant women. The sample size is 46 including 10 per each trimester, 10 postnatal and 6 as control. The cases we recruited during th... | g20186 | [
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<p>Thirty people are invited to a holiday party, where a gift exchange will take place. Each person brings a gift to put into the pot, and at the end of the night each person selects—at random—one gift from the pot to take home.</p>
<p>The probability of one (1) person accidentally choosing their own gift ... | g343 | [
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0.0057121217250823975,
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0.009438885375857353,
-0.019423572346568... |
<p>In some structural equation models that I use in my bachelor thesis, there is a substantial
correlation between two latent variables that are used to predict a third latent variable.
Now I know there are several ways of quantifying multicollinearity when it comes to observable variables, but what about exogenous lat... | g62865 | [
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<p>I'm looking to cluster a small data set (64 observations of 4 interval variables and a single three-factor categorical variable). Now, I'm quite new to cluster analysis, but I am aware that there has been considerable progress since the days when hierarchical clustering or k-means were the only available options. ... | g42073 | [
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<p>I want to estimate the treatment effect of a selection Model without a preimplemented package in R. I allready have the probit estimates for the inverse mills ratio. How can I estimate the switching regression Modell by ols to estimate the treatment effect?</p>
<p>Any advice would be great. Thanks.</p> | g62866 | [
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... |
<p><strong>Now I see it can't hold. Thank you for the counter examples... You guys rule!</strong></p>
<p><strong>Thank you very much for your comments!</strong></p>
<p>I added, however, some observations that were missing. Most importantly is the fact that we can assume that there exist a positive covariance between ... | g62867 | [
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<p>I am new to data science and R, and using the following <a href="https://www.kaggle.com/c/data-science-london-scikit-learn" rel="nofollow">Kaggle</a> data to learn.
The input is a matrix with <code>40</code> columns of data, for 9.000 lines. The output is a <code>class</code>: <code>0</code> or <code>1</code>.</p>
... | g20194 | [
0.014321483671665192,
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0.012607336975634098,
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0.09792625904083252,
-0.... |
<p>I am having trouble determining whether to use standardized or raw regression weights when using multiple regression to interpret Multidimensional Scaling plots. Different textbooks seem to advocate different approaches and I am unable to determine why.</p>
<p>In detail, using SPSS I have obtained a MDS ordination ... | g20195 | [
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... |
<p>My understanding was that descriptive statistics quantitatively described features of a data sample, while inferential statistics made inferences about the populations from which samples were drawn.</p>
<p>However, the <a href="http://en.wikipedia.org/wiki/Statistical_inference">wikipedia page for statistical infer... | g20197 | [
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... |
<p>Let's say I have 300 restaurants that I want to compare to each other on the basis of a "similarity score". To try and determine similarity scores, I pick a reference restaurant and pick 3 other restaurants at random and ask a user "Which of these 3 restaurants is most similar to the reference restaurant?". The user... | g62868 | [
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0.02271... |
<p>I am developing a Poisson-family glm model in R for a dataset that I have. This dataset has 650 entries with two measures of exposure. The model, though not that relevant to the question, is:
$$\ln(E(y_i)) = \ln(\beta_1) + \beta_2 \ln(\text{exp}_1) + \beta_3 \ln(\text{exp}_2)$$
After developing the model in R using ... | g62869 | [
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0.026403965428471565,
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<p>I'm looking for a third opinion on the probability of making a particular decision due to chance alone.</p>
<p>I have a task where people read a paragraph of text, then they are shown it a second time, except some of those times one word has changed. People are then asked whether they detected a change. If they say... | g616 | [
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<p>I am encountering the following problem: I have been given a number of samples, and my task is to select those from the distribution that we are interested. Suppose the distribution that I am interested in is a Gaussian with a known mean and variance. Then how to only select samples from this Gaussian but not others... | g20199 | [
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0.01122... |
<p>1200 pregnant patients were asked by the doctor/nurse if they smoke or not. Once the patient admits to smoking she is referred to quit smoking clinic. In the quit smoking clinic they are offered nicotine replacement therapy. </p>
<p>The questions are:</p>
<ol>
<li>In the women who use nicotine replacement therapy ... | g39345 | [
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... |
<p>I have a logistic regression model which is obtained from literature about the probability of developing a toxicity ($y_{i}=1$ or $0$) when patients are given dose $X_{i}$. $X_{i}$ is a continuous variable. The model can be written as:</p>
<p>$Y_{i} \sim B(1,\pi_{i})$</p>
<p>$E(Y_{i})=\pi_{i}$ and $\operatorname{v... | g20200 | [
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<p>I am using R to develop an ARIMA model to evaluate the influence of several seasonal covariates (e.g., meteorological data) upon the incidence of a seasonal disease. I have weekly data available and have set the period equal to 52 weeks. Using the <code>auto.arima</code> function the disease of interest has a form o... | g62870 | [
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<p>I have varying levels of experience with Matlab, Mathematica, R, Octave, Python (SciPy) and Julia for statistical/numerical programming. These are all dynamically typed languages and are not compiled (if we ignore JIT compilation). While it is quick and easy to write code in these languages, and some (notably Mathem... | g62871 | [
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0.02728893980383873,
0.03105468675494194,
0.03344379737973213,
-0... |
<p>I have a vector: <code>a<-rnorm(100)</code></p>
<p>I would like to create 5 variables that are correlated with <code>a</code> to a different extent.</p>
<p>For example each of the 5 variables should have a correlation of <code>.5, .6, .7, .8, .9</code> with <code>a</code> respectively</p>
<p>How can this be do... | g62872 | [
0.013481007888913155,
-0.05435037985444069,
-0.03511115908622742,
-0.06224960461258888,
0.06466766446828842,
-0.011795666068792343,
-0.002275413367897272,
-0.01158731710165739,
-0.053880445659160614,
-0.016735486686229706,
-0.013648949563503265,
0.02075124718248844,
0.02339731901884079,
0.... |
<p>I have data for two classes A and B for N participants (same group -> dependent) in an experiment. Both classes are described by a feature vector. For each participant i have a certain number of samples (=feature vectors) for each class.</p>
<p>Now, in a first step I am interested in the difference of the average w... | g20205 | [
-0.017492130398750305,
-0.04330144822597504,
0.003520773956552148,
-0.026533251628279686,
0.002738218056038022,
0.0053414939902722836,
0.06015568971633911,
0.05526875704526901,
-0.032075513154268265,
-0.021356940269470215,
0.045018620789051056,
0.024126693606376648,
-0.025943871587514877,
... |
<p>Suppose $X_{1},...X_{n}$ are independently, identically distributed Bernoulli random quantities with parameter $k$. <br><br>Consider the hypothesis test:<br><br>$H_{0}: k = k_{0}$ vs $H_{1} : k = k_{1} \ \ $where $k_{1} \gt k_{0}$.<br><br>Suppose, using the Neyman-Pearson lemma, we obtain a critical region of the fo... | g20206 | [
0.008170977234840393,
-0.01543087512254715,
-0.007376690395176411,
-0.013881868682801723,
0.007753839250653982,
0.007967947982251644,
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0.013388589024543762,
0.023230060935020447,
-0.0031543835066258907,
0.0030825419817119837,
0.00768068665638566,
... |
<p><strong>Short version:</strong> I'm looking for an R package that can build decision trees whereas each leaf in the decision tree is a full Linear Regression model. AFAIK, the library <code>rpart</code> creates decision trees where the dependent variable is constant in each leaf. Is there another library (or a <code... | g62873 | [
0.0374661386013031,
-0.06719483435153961,
-0.01802293211221695,
-0.002823977032676339,
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-0.0010550512233749032,
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0.011510825715959072,
0.013188127428293228,
... |
<p><img src="http://i.stack.imgur.com/GxSgU.jpg" alt="enter image description here">I have a question. I set up a hypothesis: The greater the number of franchise units within a franchised company, the greater the use of the intranet. On the one hand we have the number of franchise units of each franchise company, on th... | g62874 | [
0.015696022659540176,
0.02311372570693493,
0.009481764398515224,
-0.0218635443598032,
0.0014921297552064061,
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0.019252333790063858,
0.04395736753940582,
-0.035179004073143005,
-0.056660354137420654,
0.020745957270264626,
0.018088294193148613,
0.018836690112948418,
0.05... |
<p>I know that the Central Limit Theorem states that if a random sample of size $n$ is drawn from iid random variables $X_1, \ldots, X_n$, then the variable
$$
Z = \frac{\hat x - E(X) }{{\rm sd}(\hat x)}\text{ is }\mathcal N(0,1)
$$
as $n$ is big enough (where $\hat x$ denotes the sample average).</p>
<p>My question ... | g49654 | [
0.019280193373560905,
0.016660582274198532,
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0.00740409130230546,
0.007820118218660355,
-0.025633595883846283,
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-0.02753641828894615,
-0.003601752920076251,
0.028847601264715195,
0.00892711617052555,
-... |
<p>Suppose we have two (centered) Spline-matrices $\boldsymbol{B_1}$, $\boldsymbol{B_1}$. </p>
<p>Then $\boldsymbol{X_1} = [\boldsymbol{B_1},\boldsymbol{B_2}]$ contrains lower order smooths and $\boldsymbol{X_2}$ the corresponding tensor product smooth, ${\boldsymbol{X_2}}_i = {\boldsymbol{B_1}}_i\otimes{\boldsymbol{B... | g62875 | [
0.028462115675210953,
-0.01972959004342556,
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0.03310476616024971,
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0.026199141517281532,
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0... |
<p>An anonymous reader posted <a href="http://jeromyanglim.blogspot.com/2009/11/tips-for-writing-up-research-in.html?showComment=1285227037363#c3803430820186070755">the following question on my blog</a>.</p>
<p><strong>Context:</strong> </p>
<p>The reader wanted to run a factor analysis on scales from a questionnaire... | g62876 | [
-0.008986285887658596,
0.010151926428079605,
0.01536824181675911,
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0.0037517810706049204,
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-0.03161830082535744,
0.0004095479962415993,
-0.007630597334355116,
0.035274699330329895,
... |
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