Update README.md

README.md

@@ -37,37 +37,8 @@ People often select only a few events when explaining what happened. What drives
     └── plots
 ```
 
-### code 
-
-Contains all code including the R code for analyzing data and generating figures, written in R. 
-See the rendered file <a href="https://cicl-stanford.github.io/father-dont-forgive/">here</a>.
-
-### docs
-
-Contains all the experiment code. You can preview the experiments below:
-
-Condition "Hard Intervention / Positive Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_1/index.html?condition=1">Click here!</a>
-
-Condition "Hard Intervention / Negative Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_1/index.html?condition=3">Click here!</a>
-
-Condition "Soft Intervention / Positive Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_2/index.html?condition=1">Click here!</a>
-
-Condition "Soft Intervention / Negative Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_2/index.html?condition=3">Click here!</a>
-
-Condition "Fixed Intervention / Positive Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_3/index.html?condition=1">Click here!</a>
-
-Condition "Fixed Intervention / Negative Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_3/index.html?condition=3">Click here!</a>
-
-
-### data 
-
-Contains anonymized combined data for all experimental conditions (hard / soft / fixed intervention x positive / negative outcome) (for raw data and how these were computed, see <code>code/R/</code>). 
-
-For example, <code>fixedint_negative.csv</code> contains the average percentage of choice selection (abnormal switch, normal switch, no preference) in the intervention and explanation task. 
-
-<code>data_int.csv</code> combines all four dataframes (hardint_pos, hardint_neg, softint_pos, softint_neg, fixedint_pos, fixedint_neg)
-
 ### code
+
 This folder contains two types of R scripts. 
 The model predictions can be seen <a href="https://cicl-stanford.github.io/explanation_intervention/analyses/experiments/index.html">here</a>. The analyses and plots can be seen <a href="https://cicl-stanford.github.io/explanation_intervention/analyses/models/index.html">here</a>
 
@@ -94,71 +65,35 @@ The model predictions can be seen <a href="https://cicl-stanford.github.io/expla
   </li>
 </ul>
 
+### docs
 
+Contains all the experiment code. You can preview the experiments below:
 
+Condition "Hard Intervention / Positive Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_1/index.html?condition=1">Click here!</a>
 
-### figures 
-
-contains all the figures from the paper (generated using the script in <code>code/R<code/>).
-
-
-## General points
-
-- for folder and file names: 
-	+ don't use white space in either folder or filenames, use an underscore "_" instead
-	+ (almost always) use lower case only
-- always use relative paths in your code
-	+ for example, to save a figure from an R script inside the `code/R/` folder the path should be "../../figures/figure_name.pdf"
-- keep your folder structure organized
-	+ we recommend adhering to the folder structure in this repository 
-	+ more complex projects may have additional folders such as `videos/`, `papers/`, ...
-- note: some of the folders are empty except for a `.keep` file
-	+ the `.keep` file is just there to make sure that github includes the otherwise empty folder 
-	+ feel free to delete the `.keep` file once you've added another file to that folder
-- each code subfolder has a readme file that should be updated with information about the code scripts 
-- use github issues to keep track of any larger decisions that we make along the way 
-- make sure to create a slack channel for each project, link up the github repository with the slack channel, and add the people working on the project to the github repo and slack channel 
-- see our lab wiki for more help: https://github.com/cicl-stanford/wiki/wiki
-
-## Repository structure 
+Condition "Hard Intervention / Negative Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_1/index.html?condition=3">Click here!</a>
 
-```
-├── code
-│   ├── R
-│   ├── bash
-│   ├── experiments
-│   └── python
-├── data
-├── figures
-├── papers
-├── presentation
-└── writeup
-```
+Condition "Soft Intervention / Positive Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_2/index.html?condition=1">Click here!</a>
 
-### code 
+Condition "Soft Intervention / Negative Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_2/index.html?condition=3">Click here!</a>
 
-Put all your code here. Use a separate folder for scripts based on the programming language. 
+Condition "Fixed Intervention / Positive Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_3/index.html?condition=1">Click here!</a>
 
-#### experiments 
+Condition "Fixed Intervention / Negative Outcome": <a href="https://cicl-stanford.github.io/explanation_intervention/experiment_3/index.html?condition=3">Click here!</a>
 
-The experiments folder is for the online (or in lab) experiments. Each experiment should be in its own folder. When you run another experiment, make sure to create a new folder (so that we always know what an experiment looked like when it was run). In readme file for the experiments folder, provide a brief summary of each experiment. Also note down any additional information that may not be saved within each experiment (e.g. how much the payment was for MTurk participants).
 
 ### data 
 
-Put your raw data files here. Any data wrangling to that file should happen in your code scripts. 
-
-### figures 
+Contains anonymized combined data for all experimental conditions (hard / soft / fixed intervention x positive / negative outcome) (for raw data and how these were computed, see <code>code/R/</code>). 
 
-Save all your figures here. You may want to include additional subfolder here such as `plots/`, `diagrams/` etc. 
+For example, <code>fixedint_negative.csv</code> contains the average percentage of choice selection (abnormal switch, normal switch, no preference) in the intervention and explanation task. 
 
-### papers 
+<code>data_int.csv</code> combines all four dataframes (hardint_pos, hardint_neg, softint_pos, softint_neg, fixedint_pos, fixedint_neg)
 
-Put research papers here that are relevant for your project. 
 
-### presentation
+### figures 
 
-Put your project presentation here (e.g. your keynote, powerpoint, google slides, or pdf file).
+contains all the figures from the paper (generated using the script in <code>code/R<code/>).
 
-### writeup 
 
 Put all your writing here. This folder structure is likely to expand for more complex projects. For example, you could add a subfolders like folders `journal/cognition/submission/`, `proceedings/cogsci/resubmission/` etc.