textEmbed: Reflecting standards and state-of-the-arts | textEmbed() | The Language model | The Layers | textEmbedRawLayers: Get tokens and all the layers | textEmbedLayerAggreation: Testing different layers

Set up a python environment for the text-package | System-level dependencies | Windows | Microsoft C++ Build Tools | Terms of Service conflict -- Annaconda forge channel | MacOS | 1 Homebrew & libomp | 2. Install libomp: | Ubuntu | General troubleshooting | 1. Check if you have install permissions | 2. Remembered to initialize the python environment. | 3. Install the development version from GitHub. | 4. Force reinstallation of the environment | 5. Install the python environment using reticulate | 6. Inspect diagnostic information | Virtual environments | Solving OMP errors and R/Rstudio crashes

textEmbed(): mapping text to numbers using HuggingFace language models | textTrain(): Examine the relationship between text and numeric variables | Plot statistically significant words | textProjection(): Pre-process data for plotting | textProjectionPlot(): A two-dimensional word plot | Articles using the text-package | Other relevant references

Overview of L-BAM pipelines | References

Code to build a singularity container with HuggingFace models in R

Flexibility: The double edged sword in data analyses | Specific pre-registration requirements for text analyses | References

Overview | Step 1: Install reticulate | Step 2: Create a Conda Environment | Step 3: Install Python Packages | Step 4: Activate the Environment | Show available conda environments | Remove the conda environment

Your system's capacity | References