From b5d944139669da9e865ae9bf3c3322a659052908 Mon Sep 17 00:00:00 2001
From: katieemmons <56890287+katieemmons@users.noreply.github.com>
Date: Tue, 22 Oct 2019 14:36:24 -0700
Subject: [PATCH] Create individual_tests

---
 individual_tests | 73 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 73 insertions(+)
 create mode 100644 individual_tests

diff --git a/individual_tests b/individual_tests
new file mode 100644
index 0000000..c042a4d
--- /dev/null
+++ b/individual_tests
@@ -0,0 +1,73 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Oct 15 14:47:35 2019
+
+@author: katieemmons
+"""
+
+import pandas as pd
+#replace file with path to individuals data in .txt format 
+file = r'/Users/katieemmons/Desktop/behavioral/100/clouds_2bo_raw.txt'
+
+df = pd.read_csv(file)
+print(file)
+
+#creates two additional columns in df
+df['correct resp'] = df.resp == df.want
+df['unknown resp'] = df.resp == "????"
+
+#list of experimental conditions
+conditions = ["maintain space", "maintain pitch", "maintain both", "switch space", "switch pitch", "switch both"] 
+
+
+# calculates perent correct for each condition for an individual participant
+def percentCorrect(str):
+    correct_responses = (df.loc[df['cond'] == str, 'correct resp'].sum())
+    total_trials = ((df['cond'] == str).sum())
+    return (correct_responses/total_trials * 100)
+
+for x in conditions:
+    percentCorrect(x)
+    print(x, "percent correct:", percentCorrect(x))
+    
+# calculates the total number of unknown responses for each condition for an individual participant
+def unknownResponse(str):
+    unknown_resp = (df.loc[df['cond'] == str, 'unknown resp'].sum())
+    return(unknown_resp)
+    
+for x in conditions :
+    unknownResponse(x)
+    print(x, "unknowns :", unknownResponse(x))
+    
+ # 0 = 'want'
+# 1 = 'resp'
+# 2 = 'cond'
+# 3 = 'correct resp' (boolean)
+# 4 = 'unknown resp' (boolean)
+
+# calculates percent correct for each syllable position for an individual participant   
+def syllablePercentCorrect (int):
+    n=0
+    total_trials = len(df.index)
+    for ind in df.index: 
+        if(((df.iat[ind,0])[int]) == ((df.iat[ind,1][int]))):
+            n=n+1
+    return (n/total_trials)
+
+for x in range (0,4):
+    syllablePercentCorrect(x)
+    print (x+1, "th syllable:", syllablePercentCorrect(x)) 
+    
+# calculates the number of unknown responses for each syllable for an individual participant
+  
+def unknownSyllable (int):
+    n=0
+    for ind in df.index:
+        if("?" == ((df.iat[ind,1][int]))):
+            n = n+1
+    return (n)
+
+for x in range (0,4):
+    unknownSyllable(x)
+    print(unknownSyllable(x), "unknown responses in", x+1, "th syllable")