A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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for any *on-topic* question that (a) must have an `R`-based solution yet (b) is not *just* about how to program in `R`.
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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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data observed over time (either in continuous time or at discrete time periods).
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Methods and principles of building "computer systems that automatically improve with experience."
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A probability provides a quantitative description of the likely occurrence of a particular event.
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Hypothesis testing assesses whether data support a given hypothesis rather than being an effect of random fluctuations or some other process described by an alternative hypothesis.
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a mathematical description of *probabilities* or *frequencies.*
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A routine question from a textbook, course, or test used for a class or self-study. This community's policy is to "provide helpful hints" for self-study questions.
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Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
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A measure of the degree of linear association among a pair of variables.
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ANOVA stands for ANalysis Of VAriance, a statistical model and set of procedures for comparing the means of groups of related data. The independent variables in an ANOVA model are categorical, but an …
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a method of statistical inference which uses Bayes' theorem to find probability estimates of parameters or hypotheses.
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Statistical significance refers to the probability that, if, in the population from which this sample were drawn the true effect were 0 (or some hypothesized value) a test statistic as extreme or more…
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the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of dat…
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The normal, or Gaussian, distribution has a density function that is a symmetrical bell-shaped curve. It is often used as a reference against which other distributions are compared.
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Partitioning data into subsets of objects according to their mutual "similarity," without using preexisting knowledge such as class labels. Clustered-standard-errors and/or cluster-samples should be t…
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Presenting results in graphical form; for example, histograms, scatterplots, or boxplots.
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An interval of random variables, depending on observed data, which, with a fixed probability, contain an unknown parameter of interest.
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Any statistical process which seeks to approximate an unknown value, such as a distribution, a point estimate (e.g. mean), or confidence interval.
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Refers to a class of models developed to account for correlation that may occur within nested data.
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a signal that the question focuses on a problem particular to multivariate analysis, such as multiple correlations or interactions.
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Mathematical theory of statistics, concerned with formal definitions and general results.
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SPSS (Statistical Package for the Social Sciences) is a proprietary cross-platform general-purpose statistical software package.
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Repeated measures data occurs when more than one measurement is collected on the same unit (e.g. subject). This data cannot be analysed through normal methods because the rows in the data are not inde…
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Categorical data can take on a limited (usually fixed) number of possible values called categories. Categorical values "label", they do not "measure". Nominal and dichotomous/binary scale types are ca…
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The expected squared deviation of a random variable from its mean; or, the average squared deviation of data about their mean.
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a technique to decompose an array of numerical data into a set of orthogonal vectors (uncorrelated linear combinations of the variables) called principal components. Th…
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Creating samples from a well-specified population using a probabilistic method and/or producing random numbers from a specified distribution.
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A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "genera…
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A test for comparing the means of two samples, or the mean of one sample (or even parameter estimates) with a specified value; also known as the "Student t-test" after the pseudonym of its inventor.
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Data mining uses methods from artificial intelligence in a database context to discover previously unknown patterns. As such, the methods are usually unsupervised. It is closely related but not identi…
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Support Vector Machine refers to "a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis."
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a formalization of relationships between variables in the form of mathematical equations. A statistical model describes how one or more random variables are related to one or mo…
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Multivariate refers to analyses where there is >1 response / dependent variable of interest in the statistical analysis. This can be contrasted w/ *multivariable* analyses, which typically implies >1 …
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statistical models whose primary purpose is to predict other observations of a system optimally, as opposed to models whose purpose is to test a particular hypothesis or explain …
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Forecasting involves estimating the value or distribution of a random variable which has not yet been observed.