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  2. Multiple factor analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_factor_analysis

    Table 2 summarizes the inertia of the first two axes of the PCA and of the MFA applied to Table 1. Group 2 variables contribute to 88.95% of the inertia of the axis 1 of the PCA. The first axis is almost coincident with C: the correlation between C and is .976;

  3. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    In other words, the two variables are not independent. If there is no contingency, it is said that the two variables are independent. The example above is the simplest kind of contingency table, a table in which each variable has only two levels; this is called a 2 × 2 contingency table. In principle, any number of rows and columns may be used ...

  4. Bivariate data - Wikipedia

    en.wikipedia.org/wiki/Bivariate_data

    For two qualitative variables (nominal or ordinal in level of measurement), a contingency table can be used to view the data, and a measure of association or a test of independence could be used. [3] If the variables are quantitative, the pairs of values of these two variables are often represented as individual points in a plane using a ...

  5. Bivariate analysis - Wikipedia

    en.wikipedia.org/wiki/Bivariate_analysis

    Graphs that are appropriate for bivariate analysis depend on the type of variable. For two continuous variables, a scatterplot is a common graph. When one variable is categorical and the other continuous, a box plot is common and when both are categorical a mosaic plot is common. These graphs are part of descriptive statistics.

  6. State-transition table - Wikipedia

    en.wikipedia.org/wiki/State-transition_table

    State-transition tables are typically two-dimensional tables. There are two common ways for arranging them. In the first way, one of the dimensions indicates current states, while the other indicates inputs. The row/column intersections indicate next states and (optionally) outputs associated with the state transitions.

  7. Multivariate statistics - Wikipedia

    en.wikipedia.org/wiki/Multivariate_statistics

    The extracted variables are known as latent variables or factors; each one may be supposed to account for covariation in a group of observed variables. Canonical correlation analysis finds linear relationships among two sets of variables; it is the generalised (i.e. canonical) version of bivariate [3] correlation.

  8. Biplot - Wikipedia

    en.wikipedia.org/wiki/Biplot

    The transformed data matrix Y is obtained from the original matrix X by centering and optionally standardizing the columns (the variables). Using the SVD, we can write Y = Σ k =1,... p d k u k v k T ;, where the u k are n -dimensional column vectors, the v k are p -dimensional column vectors, and the d k are a non-increasing sequence of non ...

  9. Trace table - Wikipedia

    en.wikipedia.org/wiki/Trace_table

    A trace table is a technique used to test algorithms in order to make sure that no logical errors occur while the calculations are being processed. The table usually takes the form of a multi-column, multi-row table; With each column showing a variable , and each row showing each number input into the algorithm and the subsequent values of the ...