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  • March 2, 2019Contributing

    What does Figure 1 mean?

    What does Figure 1 mean? Figure 1 is a Toronto, Ontario-based online social networking service for healthcare professionals to post and comment on medical images.…

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  • March 2, 2019Contributing

    How do you measure concave and convex?

    How do you measure concave and convex? Let’s suppose that the straight line is oriented bottom left to top right with a certain angle and…

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  • March 2, 2019Helpful tips

    What is phase randomization?

    What is phase randomization? QKD with weak coherent state signals has nevertheless been proven to be secure, but only under the assumption that the phase…

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  • March 2, 2019Blog

    How do you set the scale of a plot in R?

    How do you set the scale of a plot in R? To change the axis scales on a plot in base R, we can use…

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  • March 2, 2019Helpful tips

    Can you use one-way Anova for categorical variables?

    Can you use one-way Anova for categorical variables? A one-way analysis of variance (ANOVA) is used when you have a categorical independent variable (with two…

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  • March 2, 2019Miscellaneous

    What is glmmPQL?

    What is glmmPQL? a design matrix for the random effects, with number of rows equal to the length of variables in formula . frame() to…

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  • March 2, 2019Guidelines

    Which statistical technique is used?

    Which statistical technique is used? The most commonly used statistical technique is multiple regression analysis (and its variations such as regression in stages or two-stage…

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  • March 2, 2019Miscellaneous

    How do you fit a nonlinear curve in origin?

    How do you fit a nonlinear curve in origin? Use a built-in function to fit the data Click File:Open… to open the Intro_to_Nonlinear Curve Fit…

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  • March 2, 2019Contributing

    What are the assumptions for SVM?

    What are the assumptions for SVM? Thus, SVMs can be defined as linear classifiers under the following two assumptions: The margin should be as large…

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  • March 2, 2019Popular

    Why is K-means clustering unsupervised?

    Why is K-means clustering unsupervised? Example: Kmeans Clustering. Clustering is the most commonly used unsupervised learning method. This is because typically it is one of…

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