# Preprocessing of data (READ FIRST)
The raw eeg data can be pre-processed using [eeguana][1] package, for preprocessing the data the `data/raw_eeg` and `data/opensesame_files` are needed.
## For preprocessing using ICA use:
* `00_preprocessing_ICA.R`
* `01_ICA_visualization.R`
* `02_clean_ICA_artif.R`
Not that this will take a long time and will generate the (same) files (hopefully) that can be found in `data/eeguana_preproc`.
## For preprocessing without using ICA use:
* `00-02b_noICA.R.R`
Not that this will take some time and will generate the (same) files (hopefully) that can be found in `data/eeguana_preproc_ICA`.
## For using the preprocessed files to create a data frame:
If one wants to use the already preprocessed files in `eeguana_preproc*`, one can directly knit `03_data_summarization.Rmd`, this file has also already being compiled in `03_data_summarization.html`. The output of this file is:
`eeg_data.csv`
```
> sessionInfo()
R version 3.6.0 (2019-04-26)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.1 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=de_DE.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=de_DE.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=de_DE.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] cleanNLP_3.0.2 hunspell_3.0 magrittr_1.5 tidyr_0.8.3
[5] readxl_1.3.1 readr_1.3.1 eeguana_0.1.1.9000 purrr_0.3.2
[9] ggplot2_3.2.1 stringr_1.4.0 dplyr_0.8.3 osfr_0.2.4
loaded via a namespace (and not attached):
[1] Rcpp_1.0.2 cellranger_1.1.0 pillar_1.4.1 compiler_3.6.0
[5] tools_3.6.0 zeallot_0.1.0 jsonlite_1.6 tibble_2.1.3
[9] gtable_0.3.0 pkgconfig_2.0.2 rlang_0.4.0 cli_1.1.0
[13] crul_0.7.4 curl_4.2 withr_2.1.2 hms_0.4.2
[17] fs_1.3.1 vctrs_0.1.0 triebeard_0.3.0 grid_3.6.0
[21] tidyselect_0.2.5 data.table_1.12.6 glue_1.3.1 httpcode_0.2.0
[25] R6_2.4.0 fansi_0.4.0 urltools_1.7.3 backports_1.1.4
[29] scales_1.0.0 assertthat_0.2.1 mime_0.7 colorspace_1.4-1
[33] utf8_1.1.4 stringi_1.4.3 lazyeval_0.2.2 munsell_0.5.0
[37] crayon_1.3.4
```
[1]: https://bnicenboim.github.io/eeguana/
