Chi-square test is the goodness of fit between a set (or vector) of observed values and expected values. Chi-square is one among other distributions. Typical chi-square distribution can be plotted with following R code: x = seq(0, 30, length.out =…
Chi-square test is the goodness of fit between a set (or vector) of observed values and expected values. Chi-square is one among other distributions. Typical chi-square distribution can be plotted with following R code: x = seq(0, 30, length.out =…
In previous post, I have discussed on how to create a sample data-set in R. So let’s use the created data-set from previous post and start playing with Regression predictions. With each prediction we want to measure, which one scores…
Let’s assume that we have two groups (= datasets) of observations. And we are interested if two sets of data are significantly different from each other. In first place we will compare the means of each group and for these…
When testing random functions or predictions in R it is usually a good thing to have some sample or random data. A lot of libraries and base libraries in R are equipped with good sample data, but let me show…
Tomaz doing BI and DEV with SQL Server and R, Python and beyond
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Tomaz doing BI and DEV with SQL Server and R, Python and beyond
attaining enlightenment with sql server, .net, biztalk, windows and linux
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Tomaz doing BI and DEV with SQL Server and R, Python and beyond
Tomaz doing BI and DEV with SQL Server and R, Python and beyond
Tomaz doing BI and DEV with SQL Server and R, Python and beyond
Julie Koesmarno's Journey In Data, BI and SQL World
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Life changes fast and this is where I occasionally take time to ponder what I have learned and experienced. A lot of focus will be on SQL and the SQL community – but life varies.