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Two-way MANOVA GLM Mixed model Post-hoc Latin squares; ADaMSoft: Yes Yes No No No No No Alteryx: Yes Yes Yes Yes Yes Analyse-it: Yes Yes No No Yes Yes No BMDP: Yes Yes Yes Yes Yes Yes Epi Info: Yes Yes No No No No No EViews: Yes GAUSS: No No No No No GenStat: Yes Yes Yes Yes Yes Yes Yes GraphPad Prism: Yes Yes No Yes Yes Yes No gretl: Yes JASP ...
Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability and accuracy of ML classification and regression algorithms. It also reduces variance and overfitting.
In statistical quality control, the individual/moving-range chart is a type of control chart used to monitor variables data from a business or industrial process for which it is impractical to use rational subgroups. [1] The chart is necessary in the following situations: [2]: 231
A carpet plot with two independent variables and one dependent variable is often called a cheater plot for the use of a phantom "cheater" axis instead of the horizontal axis. As a result of this missing axis, the values can be shifted horizontally such that the intersections line up vertically.
A histogram, a type of bar chart, may be used for this analysis. [55] Correlation: Comparison between observations represented by two variables (X,Y) to determine if they tend to move in the same or opposite directions. For example, plotting unemployment (X) and inflation (Y) for a sample of months. A scatter plot is typically used for this ...
A radar chart is a graphical method of displaying multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. The relative position and angle of the axes is typically uninformative, but various heuristics, such as algorithms that plot data as the maximal ...
For these two expressions to be well-defined, we require that all elements of H tend to 0 and that n −1 |H| −1/2 tends to 0 as n tends to infinity. Assuming these two conditions, we see that the expected value tends to the true density f i.e. the kernel density estimator is asymptotically unbiased; and that the variance tends to zero. Using ...