Jonas Mielck - Quantitative Space

Textblob is what you want for a quick and easy sentiment analysis

In the context of an analysis of text data, sentiment analyses are often a suitable means of generating additional insights from texts. When it comes to texts in English, Textblob is a great way to achieve good results with little time. If you want to analyse German texts, for example,

nonparametric statistics

Kernel density estimators in R (base R and manual computation) and comparison to histogram estimators

Today we will take a look at kernel density estimators (KDE) in R. We will use the base R function "density" and we will also do the computations manually so that the reader can get a feeling for what happens inside the density function. As data, we will use a

Histogram estimators (nonparametric statistics)

When dealing with nonparametric statistics, which in a way says that you let the data speak for themselves, the first concept many think of is a histogram estimator. But there is also a more advanced class of nonparametric estimators, namely kernel density estimators (KDE). This post will cover R code

Monte Carlo simulation for empirical rejection rates in R - calculations and plots

Assume you have a random variable that follows a normal distribution, you want to calculate empirical rejection rates and plot them. In the following we will look at the case where the mean is unknown and the variance is known. Specifications H_0: mu_0 = 0 vs H1: mu_1