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 =…
TomazTsql
Tomaz doing BI and DEV with SQL Server and R
Monthly Archives: January 2016
Playing with Regression prediction and MSE measure
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…
Random permutations and t-test
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…
Posted in Uncategorized
Generating sample data in R
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…
Posted in Uncategorized
 | ankit on Using Python Pandas dataframe… |
| Enabling R Scripts i… on Playing with Regression predic… | |
 | Jared Prins on Running R scripts within in-da… |
| Python In SQL Server… on Using Python with Microsoft Re… | |
| SQL Server: Using R… on Using R sp_execute_external_sc… |
