Reshaping an array to data.frame
I have the following data structure (an "atomic vector?") output from daply in plyr, in which I had the function return three different measures for each subject, condition, and item.
x = structure(c(-0.93, 0.39, 0.88, 0.63, 0.86, -0.69, 1.02, 0.29, 0.94,
0.93, -0.01, 0.79, 0.32, 0.14, 0.13, -0.07, -0.63, 0.26, 0.07, 0.87,
-0.36, 1.043, 0.33, -0.12, -0.055, 0.07, 0.67, 0.48, 0.002, 0.008,
-0.19, -1.39, 0.98, 0.43, -0.02, -0.15,-0.08, 0.74, 0.96, 0.44, -0.005,
1.09, 0.36, 0.04, 0.09, 0.17, 0.68, 0.51, 0.09, 0.12, -0.05, 0.11,
0.99, 0.62, 0.13, 0.06, 0.27, 0.74, 0.96, 0.45), .Dim = c(5L,
2L, 2L, 3L), .Dimnames = structure(list(Subject = c("s1", "s2",
"s3", "s4", "s5"), Cond = c("A", "B"), Item = c("1", "2"), c("Measure1",
"Measure2", "Measure3")), .Names = c("Subject", "Cond",
"Item", "")))
I want to change it to look like:
Subject Cond Item Measure1 Measure2 Measure3
s1 A 1 -0.93 -0.360 -0.005
s1 A 2 -0.01 -0.19 -0.05
s1 B 1 -0.69 0.070 0.17
s1 B 2 -0.07 -0.15 0.06
s2 A 1 0.39 1.043 1.090
s2 A 2 0.79 -1.39 0.11
s2 B 1 1.02 0.670 0.68
s2 B 2 -0.63 -0.08 0.27
etc.
Is there an easy way to do this?
Answer
Use as.data.frame.table().
df0 <- as.data.frame.table(x)
head(df0)
# Subject Cond Item Var4 Freq
# 1 s1 A 1 Measure1 -0.93
# 2 s2 A 1 Measure1 0.39
# 3 s3 A 1 Measure1 0.88
# 4 s4 A 1 Measure1 0.63
# 5 s5 A 1 Measure1 0.86
# 6 s1 B 1 Measure1 -0.69
library(tidyr)
df1 <- spread(data = df0, key = Var4, value = Freq)
head(df1)
# Subject Cond Item Measure1 Measure2 Measure3
# 1 s1 A 1 -0.93 -0.360 -0.005
# 2 s1 A 2 -0.01 -0.190 -0.050
# 3 s1 B 1 -0.69 0.070 0.170
# 4 s1 B 2 -0.07 -0.150 0.060
# 5 s2 A 1 0.39 1.043 1.090
# 6 s2 A 2 0.79 -1.390 0.110