I used a for loop to create a correlation matrix, because I needed to use polychor to generate polychoric correaltions and I was only able to get polychor to correlate two variables at a time. Anyway, I created my own correlation table with the following code:
for(i in 1:ncol(gd2)) { for (j in 1:ncol(gd2)) { corValThe table looks like this:
head(dtnew) Better Afraid Alive Bored Drop Empty Energy Happy Help Home Hope Memory Satis Spirit Worth TOT 1: 1.00 0.32 0.29 0.39 0.36 0.46 0.25 0.43 0.39 0.13 0.46 0.39 0.50 0.45 0.48 0.67 2: 0.32 1.00 0.25 0.20 0.24 0.30 0.23 0.30 0.43 0.15 0.44 0.28 0.31 0.29 0.34 0.62 3: 0.29 0.25 1.00 0.26 0.28 0.46 0.38 0.60 0.35 0.19 0.41 0.10 0.49 0.53 0.43 0.65 4: 0.39 0.20 0.26 1.00 0.36 0.56 0.31 0.36 0.39 0.16 0.32 0.23 0.39 0.35 0.44 0.67 5: 0.36 0.24 0.28 0.36 1.00 0.44 0.41 0.37 0.43 0.31 0.35 0.22 0.42 0.37 0.40 0.72 6: 0.46 0.30 0.46 0.56 0.44 1.00 0.32 0.55 0.51 0.18 0.45 0.17 0.62 0.52 0.64 0.75 >But longer.
Here is the dput()
structure(list(Better = c(1, 0.32, 0.29, 0.39, 0.36, 0.46, 0.25,
0.43, 0.39, 0.13, 0.46, 0.39, 0.5, 0.45, 0.48, 0.67), Afraid = c(0.32,
1, 0.25, 0.2, 0.24, 0.3, 0.23, 0.3, 0.43, 0.15, 0.44, 0.28, 0.31,
0.29, 0.34, 0.62), Alive = c(0.29, 0.25, 1, 0.26, 0.28, 0.46,
0.38, 0.6, 0.35, 0.19, 0.41, 0.1, 0.49, 0.53, 0.43, 0.65), Bored = c(0.39,
0.2, 0.26, 1, 0.36, 0.56, 0.31, 0.36, 0.39, 0.16, 0.32, 0.23,
0.39, 0.35, 0.44, 0.67), Drop = c(0.36, 0.24, 0.28, 0.36, 1,
0.44, 0.41, 0.37, 0.43, 0.31, 0.35, 0.22, 0.42, 0.37, 0.4, 0.72
), Empty = c(0.46, 0.3, 0.46, 0.56, 0.44, 1, 0.32, 0.55, 0.51,
0.18, 0.45, 0.17, 0.62, 0.52, 0.64, 0.75), Energy = c(0.25, 0.23,
0.38, 0.31, 0.41, 0.32, 1, 0.48, 0.37, 0.36, 0.31, 0.14, 0.4,
0.43, 0.38, 0.74), Happy = c(0.43, 0.3, 0.6, 0.36, 0.37, 0.55,
0.48, 1, 0.45, 0.21, 0.49, 0.22, 0.69, 0.84, 0.49, 0.8), Help = c(0.39,
0.43, 0.35, 0.39, 0.43, 0.51, 0.37, 0.45, 1, 0.2, 0.51, 0.32,
0.5, 0.44, 0.6, 0.73), Home = c(0.13, 0.15, 0.19, 0.16, 0.31,
0.18, 0.36, 0.21, 0.2, 1, 0.23, 0.13, 0.13, 0.15, 0.26, 0.63),
Hope = c(0.46, 0.44, 0.41, 0.32, 0.35, 0.45, 0.31, 0.49,
0.51, 0.23, 1, 0.38, 0.48, 0.47, 0.59, 0.73), Memory = c(0.39,
0.28, 0.1, 0.23, 0.22, 0.17, 0.14, 0.22, 0.32, 0.13, 0.38,
1, 0.25, 0.24, 0.31, 0.66), Satis = c(0.5, 0.31, 0.49, 0.39,
0.42, 0.62, 0.4, 0.69, 0.5, 0.13, 0.48, 0.25, 1, 0.66, 0.6,
0.78), Spirit = c(0.45, 0.29, 0.53, 0.35, 0.37, 0.52, 0.43,
0.84, 0.44, 0.15, 0.47, 0.24, 0.66, 1, 0.51, 0.77), Worth = c(0.48,
0.34, 0.43, 0.44, 0.4, 0.64, 0.38, 0.49, 0.6, 0.26, 0.59,
0.31, 0.6, 0.51, 1, 0.77), TOT = c(0.67, 0.62, 0.65, 0.67,
0.72, 0.75, 0.74, 0.8, 0.73, 0.63, 0.73, 0.66, 0.78, 0.77,
0.77, 0.89)), row.names = c(NA, -16L), class = c("data.table",
"data.frame"), .internal.selfref = <pointer: 0x000001d7adc21ef0>)
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I would like to generate a visual using corrplot. However, when I try, I get an error: Error in is.finite(tmp) : default method not implemented for type 'list'
My data is indeed of type list. I have tried usuing 'unlist'. Not sure what else to try.
dput()
your data. – TarJaematrix(dtnew)
and pass the matrix to corrplot. – dcarlson