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Commit 5aaa3338 authored by LAFITTE Remi's avatar LAFITTE Remi
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add haptic vibration

parent 3f6776c0
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100-sizeestimationvisuohaptics_14_janv @ 4c42f000
Subproject commit 4c42f000bede453d277d02ad2a5f9dd12acbc8c3
File added
......@@ -13,16 +13,20 @@
# read the csv. data----------------------
# extract .csv name.
CSV_FILES =
intersect(list.files(pattern = "stimulus"),
list.files(pattern = ".csv"))
CSV_FILES = "stimulus_RL#4.csv"
# intersect(list.files(pattern = "stimulus"),
# list.files(pattern = ".csv"))
print(CSV_FILES)
# for each csv file, execute the code below
for(i in CSV_FILES){
# for(i in CSV_FILES){
# for(i in CSV_FILES){}
DF = read.csv(i) # read csv file of one participant
# DF = read.csv(i) # read csv file of one participant
i = CSV_FILES
DF = read.csv(i)
DF$stimulus = DF$stimulus*1000 # convert in mm
DF$visualSize = DF$visualSize*1000 # convert in mm
DF$hapticSize = DF$hapticSize*1000 # convert in mm
str(DF) # check variable type
table(DF$stimulus) # check the number of comparison stimulus
table(DF$condition) # check the number of trial by condition
......@@ -39,13 +43,19 @@ DF$respTaller = ifelse(DF$stimulus > 60 & DF$resp == 1 & DF$isCorrect == 1, 1,
ifelse(DF$stimulus < 60 & DF$resp == 0 & DF$isCorrect == 1, 0,
1)))))))
# filter unimodal condition for now
DF = DF[DF$condition < 5,]
DF = DF[order(DF$condition),]
# assign a color and shape to each condition for future plots
DF$color = c("blue", "red4", "grey23", "violet", "green", "skyblue", "maroon", "yellow4")[factor(DF$condition)]
DF$color = c("blue3", "seagreen3",
"red3","purple", "green", "skyblue", "maroon", "yellow4")[factor(DF$condition)]
DF$shape = c(1:10)[factor(DF$condition)]
str(DF) # re-check variable type
# plot data-------------------------------
par(cex.axis = 1.3, cex.lab = 1.3)
#_________________________________________
# plot structure
#_________________________________________
......@@ -107,9 +117,9 @@ points(x = DF_prop$stimulus,
y = DF_prop$respTaller,
pch = DF_prop$shape, # point type ; 24 = triangle
col = adjustcolor(unique(DF_prop$color),.6),
lwd = 1.8,
# bg = adjustcolor(unique(DF_prop$color),.6),
cex = 1.2) # size
cex = 1.2,
lwd = 1.6) # size
#_________________________________________
# plot binary data
......@@ -147,7 +157,8 @@ legend("topleft", # position
pch = unique(DF$shape),
col = adjustcolor(unique(DF$color),.6),
# pt.bg = adjustcolor(unique(DF$color),.6),
cex = 1.2)
cex = 1.2,
pt.lwd = 1.6)
# save the plot---------------------------
# PLOT = recordPlot()
......@@ -156,6 +167,6 @@ legend("topleft", # position
# print(PLOT)
# dev.off()
# browseURL(OUTPUT_NAME)
}
# }
# END-------------------------------------
\ No newline at end of file
trial, randomIndex, condition, modality, stimulus, conflict, visualSize, hapticSize, resp, isCorrect
1,13,3,1, 0.063,0, 0.063, 0.063,0,0
2,34,3,1, 0.057,0, 0.057, 0.057,1,1
3,36,3,1, 0.061,0, 0.061, 0.061,0,0
4,53,3,1, 0.063,0, 0.063, 0.063,0,1
5,46,3,1, 0.065,0, 0.065, 0.065,1,1
6,58,3,1, 0.057,0, 0.057, 0.057,1,1
7,20,3,1, 0.061,0, 0.061, 0.061,0,1
8,25,3,1, 0.055,0, 0.055, 0.055,1,1
9,55,3,1, 0.067,0, 0.067, 0.067,0,1
10,18,3,1, 0.057,0, 0.057, 0.057,0,0
11,8,3,1, 0.053,0, 0.053, 0.053,1,1
12,11,3,1, 0.059,0, 0.059, 0.059,1,1
13,5,3,1, 0.063,0, 0.063, 0.063,1,1
14,43,3,1, 0.059,0, 0.059, 0.059,1,1
15,54,3,1, 0.065,0, 0.065, 0.065,1,1
16,61,3,1, 0.063,0, 0.063, 0.063,1,1
17,29,3,1, 0.063,0, 0.063, 0.063,1,1
18,40,3,1, 0.053,0, 0.053, 0.053,0,1
19,59,3,1, 0.059,0, 0.059, 0.059,1,1
20,50,3,1, 0.057,0, 0.057, 0.057,1,1
21,62,3,1, 0.065,0, 0.065, 0.065,0,1
22,44,3,1, 0.061,0, 0.061, 0.061,1,1
23,42,3,1, 0.057,0, 0.057, 0.057,0,1
24,10,3,1, 0.057,0, 0.057, 0.057,1,1
25,63,3,1, 0.067,0, 0.067, 0.067,1,1
26,51,3,1, 0.059,0, 0.059, 0.059,0,1
27,23,3,1, 0.067,0, 0.067, 0.067,1,1
28,27,3,1, 0.059,0, 0.059, 0.059,1,1
29,28,3,1, 0.061,0, 0.061, 0.061,1,1
30,47,3,1, 0.067,0, 0.067, 0.067,1,1
31,26,3,1, 0.057,0, 0.057, 0.057,0,1
32,38,3,1, 0.065,0, 0.065, 0.065,1,1
33,33,3,1, 0.055,0, 0.055, 0.055,1,1
34,22,3,1, 0.065,0, 0.065, 0.065,0,1
35,35,3,1, 0.059,0, 0.059, 0.059,1,0
36,57,3,1, 0.055,0, 0.055, 0.055,1,1
37,32,3,1, 0.053,0, 0.053, 0.053,0,1
38,45,3,1, 0.063,0, 0.063, 0.063,1,0
39,17,3,1, 0.055,0, 0.055, 0.055,1,1
40,31,3,1, 0.067,0, 0.067, 0.067,1,1
41,7,3,1, 0.067,0, 0.067, 0.067,1,1
42,6,3,1, 0.065,0, 0.065, 0.065,1,1
43,0,3,1, 0.053,0, 0.053, 0.053,1,1
44,39,3,1, 0.067,0, 0.067, 0.067,0,1
45,14,3,1, 0.065,0, 0.065, 0.065,1,1
46,15,3,1, 0.067,0, 0.067, 0.067,0,1
47,52,3,1, 0.061,0, 0.061, 0.061,1,0
48,60,3,1, 0.061,0, 0.061, 0.061,1,1
49,21,3,1, 0.063,0, 0.063, 0.063,0,1
50,4,3,1, 0.061,0, 0.061, 0.061,1,1
51,1,3,1, 0.055,0, 0.055, 0.055,1,1
52,30,3,1, 0.065,0, 0.065, 0.065,0,1
53,37,3,1, 0.063,0, 0.063, 0.063,0,1
54,3,3,1, 0.059,0, 0.059, 0.059,1,1
55,2,3,1, 0.057,0, 0.057, 0.057,0,1
56,49,3,1, 0.055,0, 0.055, 0.055,1,1
57,48,3,1, 0.053,0, 0.053, 0.053,1,1
58,24,3,1, 0.053,0, 0.053, 0.053,1,1
59,41,3,1, 0.055,0, 0.055, 0.055,0,1
60,12,3,1, 0.061,0, 0.061, 0.061,1,0
61,56,3,1, 0.053,0, 0.053, 0.053,1,1
62,9,3,1, 0.055,0, 0.055, 0.055,1,1
63,19,3,1, 0.059,0, 0.059, 0.059,1,0
64,16,3,1, 0.053,0, 0.053, 0.053,1,1
65,66,1,1, 0.061,0, 0.061, 0.061,1,1
65,66,1,1, 0.057,0, 0.057, 0.057,1,1
66,97,1,1, 0.055,0, 0.055, 0.055,1,1
67,126,1,1, 0.065,0, 0.065, 0.065,0,1
68,99,1,1, 0.059,0, 0.059, 0.059,1,1
69,71,1,1, 0.067,0, 0.067, 0.067,0,1
70,124,1,1, 0.061,0, 0.061, 0.061,1,0
71,110,1,1, 0.065,0, 0.065, 0.065,1,1
72,120,1,1, 0.053,0, 0.053, 0.053,0,1
73,118,1,1, 0.065,0, 0.065, 0.065,1,1
74,125,1,1, 0.063,0, 0.063, 0.063,1,1
75,107,1,1, 0.059,0, 0.059, 0.059,0,1
76,98,1,1, 0.057,0, 0.057, 0.057,1,1
77,85,1,1, 0.063,0, 0.063, 0.063,0,1
78,94,1,1, 0.065,0, 0.065, 0.065,0,1
79,127,1,1, 0.067,0, 0.067, 0.067,1,1
80,117,1,1, 0.063,0, 0.063, 0.063,0,0
81,116,1,1, 0.061,0, 0.061, 0.061,0,1
82,84,1,1, 0.061,0, 0.061, 0.061,1,0
83,82,1,1, 0.057,0, 0.057, 0.057,0,1
84,122,1,1, 0.057,0, 0.057, 0.057,0,1
85,112,1,1, 0.053,0, 0.053, 0.053,0,1
86,77,1,1, 0.063,0, 0.063, 0.063,0,1
87,69,1,1, 0.063,0, 0.063, 0.063,1,1
88,76,1,1, 0.061,0, 0.061, 0.061,1,0
89,75,1,1, 0.059,0, 0.059, 0.059,0,1
90,83,1,1, 0.059,0, 0.059, 0.059,1,1
91,121,1,1, 0.055,0, 0.055, 0.055,1,1
92,114,1,1, 0.057,0, 0.057, 0.057,0,1
93,115,1,1, 0.059,0, 0.059, 0.059,1,1
94,104,1,1, 0.053,0, 0.053, 0.053,0,1
95,101,1,1, 0.063,0, 0.063, 0.063,1,1
96,79,1,1, 0.067,0, 0.067, 0.067,1,1
97,89,1,1, 0.055,0, 0.055, 0.055,0,1
98,102,1,1, 0.065,0, 0.065, 0.065,0,1
99,93,1,1, 0.063,0, 0.063, 0.063,0,1
100,73,1,1, 0.055,0, 0.055, 0.055,1,1
101,103,1,1, 0.067,0, 0.067, 0.067,1,1
102,67,1,1, 0.059,0, 0.059, 0.059,1,1
103,90,1,1, 0.057,0, 0.057, 0.057,1,1
104,78,1,1, 0.065,0, 0.065, 0.065,0,1
105,86,1,1, 0.065,0, 0.065, 0.065,1,1
106,113,1,1, 0.055,0, 0.055, 0.055,1,1
107,91,1,1, 0.059,0, 0.059, 0.059,0,1
108,74,1,1, 0.057,0, 0.057, 0.057,1,1
109,96,1,1, 0.053,0, 0.053, 0.053,1,1
110,80,1,1, 0.053,0, 0.053, 0.053,0,1
111,88,1,1, 0.053,0, 0.053, 0.053,1,1
112,119,1,1, 0.067,0, 0.067, 0.067,1,1
113,111,1,1, 0.067,0, 0.067, 0.067,0,1
114,87,1,1, 0.067,0, 0.067, 0.067,0,1
115,72,1,1, 0.053,0, 0.053, 0.053,1,1
116,109,1,1, 0.063,0, 0.063, 0.063,0,1
117,92,1,1, 0.061,0, 0.061, 0.061,1,0
118,81,1,1, 0.055,0, 0.055, 0.055,1,1
119,68,1,1, 0.061,0, 0.061, 0.061,1,0
120,65,1,1, 0.055,0, 0.055, 0.055,1,1
121,106,1,1, 0.057,0, 0.057, 0.057,0,1
122,95,1,1, 0.067,0, 0.067, 0.067,1,1
123,100,1,1, 0.061,0, 0.061, 0.061,0,0
124,64,1,1, 0.053,0, 0.053, 0.053,1,1
125,105,1,1, 0.055,0, 0.055, 0.055,0,1
126,70,1,1, 0.065,0, 0.065, 0.065,1,1
127,123,1,1, 0.059,0, 0.059, 0.059,1,1
1,44,2,1, 0.061,0, 0.06, 0.06,1,0
2,30,2,1, 0.065,0, 0.06, 0.06,0,1
3,58,2,1, 0.057,0, 0.06, 0.06,1,1
4,4,2,1, 0.061,0, 0.06, 0.06,1,1
5,20,2,1, 0.061,0, 0.06, 0.06,1,1
6,5,2,1, 0.063,0, 0.06, 0.06,0,1
7,26,2,1, 0.057,0, 0.06, 0.06,1,0
8,7,2,1, 0.067,0, 0.06, 0.06,1,1
9,22,2,1, 0.065,0, 0.06, 0.06,0,1
10,39,2,1, 0.067,0, 0.06, 0.06,0,1
11,40,2,1, 0.053,0, 0.06, 0.06,0,1
12,13,2,1, 0.063,0, 0.06, 0.06,0,1
13,48,2,1, 0.053,0, 0.06, 0.06,1,1
14,6,2,1, 0.065,0, 0.06, 0.06,0,1
15,56,2,1, 0.053,0, 0.06, 0.06,0,1
16,52,2,1, 0.061,0, 0.06, 0.06,1,1
17,42,2,1, 0.057,0, 0.06, 0.06,1,1
18,17,2,1, 0.055,0, 0.06, 0.06,1,1
19,57,2,1, 0.055,0, 0.06, 0.06,0,1
20,1,2,1, 0.055,0, 0.06, 0.06,0,1
21,33,2,1, 0.055,0, 0.06, 0.06,0,1
22,0,2,1, 0.053,0, 0.06, 0.06,1,1
23,46,2,1, 0.065,0, 0.06, 0.06,1,1
24,37,2,1, 0.063,0, 0.06, 0.06,0,1
25,63,2,1, 0.067,0, 0.06, 0.06,1,1
26,55,2,1, 0.067,0, 0.06, 0.06,0,1
27,60,2,1, 0.061,0, 0.06, 0.06,0,0
28,15,2,1, 0.067,0, 0.06, 0.06,0,1
29,54,2,1, 0.065,0, 0.06, 0.06,1,1
30,38,2,1, 0.065,0, 0.06, 0.06,0,1
31,25,2,1, 0.055,0, 0.06, 0.06,1,1
32,21,2,1, 0.063,0, 0.06, 0.06,0,1
33,19,2,1, 0.059,0, 0.06, 0.06,0,1
34,53,2,1, 0.063,0, 0.06, 0.06,1,1
35,47,2,1, 0.067,0, 0.06, 0.06,0,1
36,35,2,1, 0.059,0, 0.06, 0.06,1,1
37,28,2,1, 0.061,0, 0.06, 0.06,0,1
38,2,2,1, 0.057,0, 0.06, 0.06,1,1
39,29,2,1, 0.063,0, 0.06, 0.06,0,1
40,61,2,1, 0.063,0, 0.06, 0.06,1,1
41,12,2,1, 0.061,0, 0.06, 0.06,1,1
42,36,2,1, 0.061,0, 0.06, 0.06,0,0
43,24,2,1, 0.053,0, 0.06, 0.06,0,1
44,43,2,1, 0.059,0, 0.06, 0.06,0,1
45,11,2,1, 0.059,0, 0.06, 0.06,1,1
46,31,2,1, 0.067,0, 0.06, 0.06,1,1
47,45,2,1, 0.063,0, 0.06, 0.06,1,1
48,3,2,1, 0.059,0, 0.06, 0.06,1,0
49,9,2,1, 0.055,0, 0.06, 0.06,1,1
50,23,2,1, 0.067,0, 0.06, 0.06,1,1
51,59,2,1, 0.059,0, 0.06, 0.06,1,1
52,27,2,1, 0.059,0, 0.06, 0.06,1,1
53,41,2,1, 0.055,0, 0.06, 0.06,1,1
54,32,2,1, 0.053,0, 0.06, 0.06,1,1
55,49,2,1, 0.055,0, 0.06, 0.06,0,1
56,14,2,1, 0.065,0, 0.06, 0.06,0,1
57,34,2,1, 0.057,0, 0.06, 0.06,1,1
58,50,2,1, 0.057,0, 0.06, 0.06,0,1
59,16,2,1, 0.053,0, 0.06, 0.06,0,1
60,62,2,1, 0.065,0, 0.06, 0.06,0,1
61,18,2,1, 0.057,0, 0.06, 0.06,1,1
62,8,2,1, 0.053,0, 0.06, 0.06,1,1
63,10,2,1, 0.057,0, 0.06, 0.06,0,1
64,51,2,1, 0.059,0, 0.06, 0.06,1,0
33,54,5,2, 0.065, -0.003, 0.063, 0.057,1,1
34,84,5,2, 0.061, -0.003, 0.063, 0.057,0,1
35,38,5,2, 0.065, -0.003, 0.063, 0.057,0,1
36,48,5,2, 0.053, -0.003, 0.063, 0.057,0,1
37,58,5,2, 0.057, -0.003, 0.063, 0.057,0,1
38,55,5,2, 0.067, -0.003, 0.063, 0.057,1,1
39,42,5,2, 0.057, -0.003, 0.063, 0.057,0,1
40,71,5,2, 0.067, -0.003, 0.063, 0.057,0,1
41,46,5,2, 0.065, -0.0015, 0.0615, 0.0585,1,1
42,81,5,2, 0.055, -0.0015, 0.0615, 0.0585,0,1
43,68,5,2, 0.061, -0.0015, 0.0615, 0.0585,1,1
44,35,5,2, 0.059, -0.0015, 0.0615, 0.0585,1,1
45,41,5,2, 0.055, -0.0015, 0.0615, 0.0585,1,1
46,80,5,2, 0.053, -0.0015, 0.0615, 0.0585,0,1
47,64,5,2, 0.053, -0.0015, 0.0615, 0.0585,1,1
48,82,5,2, 0.057, -0.0015, 0.0615, 0.0585,1,1
49,74,5,2, 0.057, -0.0005, 0.0605, 0.0595,1,1
50,73,5,2, 0.055, -0.0005, 0.0605, 0.0595,1,1
51,50,5,2, 0.057, -0.0005, 0.0605, 0.0595,1,1
52,83,5,2, 0.059, -0.0005, 0.0605, 0.0595,1,0
53,40,5,2, 0.053, -0.0005, 0.0605, 0.0595,0,1
54,45,5,2, 0.063, -0.0005, 0.0605, 0.0595,1,1
55,70,5,2, 0.065, -0.0005, 0.0605, 0.0595,0,1
56,52,5,2, 0.061, -0.0005, 0.0605, 0.0595,1,1
57,39,5,2, 0.067,0, 0.06, 0.06,1,1
58,47,5,2, 0.067,0, 0.06, 0.06,0,1
59,66,5,2, 0.057,0, 0.06, 0.06,0,1
60,69,5,2, 0.063,0, 0.06, 0.06,0,1
61,36,5,2, 0.061,0, 0.06, 0.06,0,1
62,63,5,2, 0.067,0, 0.06, 0.06,0,1
63,87,5,2, 0.067,0, 0.06, 0.06,0,1
64,78,5,2, 0.065,0, 0.06, 0.06,0,1
65,37,5,2, 0.063, 0.0005, 0.0595, 0.0605,1,1
66,60,5,2, 0.061, 0.0005, 0.0595, 0.0605,1,1
67,85,5,2, 0.063, 0.0005, 0.0595, 0.0605,0,1
68,76,5,2, 0.061, 0.0005, 0.0595, 0.0605,0,1
69,67,5,2, 0.059, 0.0005, 0.0595, 0.0605,0,1
70,62,5,2, 0.065, 0.0005, 0.0595, 0.0605,1,1
71,56,5,2, 0.053, 0.0005, 0.0595, 0.0605,0,1
72,53,5,2, 0.063, 0.0005, 0.0595, 0.0605,0,1
73,65,5,2, 0.055, 0.0015, 0.0585, 0.0615,0,1
74,51,5,2, 0.059, 0.0015, 0.0585, 0.0615,1,1
75,49,5,2, 0.055, 0.0015, 0.0585, 0.0615,0,1
76,33,5,2, 0.055, 0.0015, 0.0585, 0.0615,1,1
77,44,5,2, 0.061, 0.0015, 0.0585, 0.0615,0,1
78,61,5,2, 0.063, 0.0015, 0.0585, 0.0615,0,1
79,43,5,2, 0.059, 0.0015, 0.0585, 0.0615,1,0
80,32,5,2, 0.053, 0.0015, 0.0585, 0.0615,0,1
81,86,5,2, 0.065, 0.003, 0.057, 0.063,0,1
82,72,5,2, 0.053, 0.003, 0.057, 0.063,0,1
83,57,5,2, 0.055, 0.003, 0.057, 0.063,0,1
84,77,5,2, 0.063, 0.003, 0.057, 0.063,0,1
85,34,5,2, 0.057, 0.003, 0.057, 0.063,0,1
86,79,5,2, 0.067, 0.003, 0.057, 0.063,0,1
87,75,5,2, 0.059, 0.003, 0.057, 0.063,1,1
88,59,5,2, 0.059, 0.003, 0.057, 0.063,0,1
89,135,7,2, 0.067, -0.003, 0.063, 0.057,1,1
90,107,7,2, 0.059, -0.003, 0.063, 0.057,0,1
91,126,7,2, 0.065, -0.003, 0.063, 0.057,1,1
92,102,7,2, 0.065, -0.003, 0.063, 0.057,0,1
93,120,7,2, 0.053, -0.003, 0.063, 0.057,1,1
94,131,7,2, 0.059, -0.003, 0.063, 0.057,0,0
95,104,7,2, 0.053, -0.003, 0.063, 0.057,1,1
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