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method = "auto"
I assumed that if I use method = "auto" for ordinal variables I'd get a polychoric correlation, but instead I get the following:
library(correlation) d <- data.frame( x = as.ordered(sample(1:5, 20, TRUE)), y = as.ordered(sample(letters[1:5], 20, TRUE)) ) # Expected correlation(d, method = "polychoric", include_factors = TRUE) #> # Correlation Matrix (polychoric-method) #> #> Parameter1 | Parameter2 | rho | 95% CI | t(18) | p #> -------------------------------------------------------------- #> x | y | 0.10 | [-0.36, 0.52] | 0.41 | 0.688 #> #> p-value adjustment method: Holm (1979) #> Observations: 20 # Weird output correlation(d, method = "auto", include_factors = TRUE) #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> For i = 2 j = 1 A cell entry of 0 was replaced with correct = 0.5. Check your data! #> # Correlation Matrix (auto-method) #> #> Parameter1 | Parameter2 | rho | 95% CI | t(18) | p #> ---------------------------------------------------------------------------- #> x.1 | x.2 | -0.38 | [-0.70, 0.08] | -1.72 | > .999 #> x.1 | x.3 | -0.38 | [-0.70, 0.08] | -1.72 | > .999 #> x.1 | x.4 | -0.38 | [-0.70, 0.08] | -1.72 | > .999 #> x.1 | x.5 | -0.27 | [-0.63, 0.20] | -1.17 | > .999 #> x.1 | y.a | -0.12 | [-0.53, 0.34] | -0.51 | > .999 #> x.1 | y.b | 0.16 | [-0.30, 0.56] | 0.69 | > .999 #> x.1 | y.c | -0.47 | [-0.75, -0.03] | -2.24 | > .999 #> x.1 | y.d | 0.16 | [-0.30, 0.56] | 0.69 | > .999 #> x.1 | y.e | 0.49 | [ 0.06, 0.76] | 2.36 | > .999 #> x.2 | x.3 | -0.29 | [-0.65, 0.18] | -1.26 | > .999 #> x.2 | x.4 | -0.29 | [-0.65, 0.18] | -1.26 | > .999 #> x.2 | x.5 | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.2 | y.a | 0.82 | [ 0.60, 0.93] | 6.15 | < .001*** #> x.2 | y.b | 0.27 | [-0.19, 0.64] | 1.20 | > .999 #> x.2 | y.c | -1.86e-05 | [-0.44, 0.44] | -7.90e-05 | > .999 #> x.2 | y.d | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.2 | y.e | -0.52 | [-0.79, -0.11] | -2.62 | 0.718 #> x.3 | x.4 | -0.29 | [-0.65, 0.18] | -1.26 | > .999 #> x.3 | x.5 | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.3 | y.a | -0.03 | [-0.47, 0.42] | -0.13 | > .999 #> x.3 | y.b | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.3 | y.c | 0.82 | [ 0.59, 0.93] | 6.06 | < .001*** #> x.3 | y.d | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.3 | y.e | -0.20 | [-0.59, 0.27] | -0.86 | > .999 #> x.4 | x.5 | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.4 | y.a | -0.03 | [-0.47, 0.42] | -0.13 | > .999 #> x.4 | y.b | -0.18 | [-0.57, 0.29] | -0.76 | > .999 #> x.4 | y.c | -1.86e-05 | [-0.44, 0.44] | -7.90e-05 | > .999 #> x.4 | y.d | 0.75 | [ 0.46, 0.90] | 4.84 | 0.006** #> x.4 | y.e | -0.20 | [-0.59, 0.27] | -0.86 | > .999 #> x.5 | y.a | 0.07 | [-0.38, 0.50] | 0.31 | > .999 #> x.5 | y.b | 0.41 | [-0.04, 0.72] | 1.91 | > .999 #> x.5 | y.c | -0.27 | [-0.63, 0.20] | -1.17 | > .999 #> x.5 | y.d | -0.07 | [-0.49, 0.39] | -0.28 | > .999 #> x.5 | y.e | 0.50 | [ 0.07, 0.77] | 2.43 | > .999 #> y.a | y.b | 0.07 | [-0.38, 0.50] | 0.31 | > .999 #> y.a | y.c | -0.12 | [-0.53, 0.34] | -0.51 | > .999 #> y.a | y.d | 0.07 | [-0.38, 0.50] | 0.31 | > .999 #> y.a | y.e | -0.27 | [-0.64, 0.20] | -1.18 | > .999 #> y.b | y.c | -0.27 | [-0.63, 0.20] | -1.17 | > .999 #> y.b | y.d | -0.07 | [-0.49, 0.39] | -0.28 | > .999 #> y.b | y.e | -0.42 | [-0.72, 0.03] | -1.94 | > .999 #> y.c | y.d | -0.27 | [-0.63, 0.20] | -1.17 | > .999 #> y.c | y.e | -0.61 | [-0.83, -0.23] | -3.28 | 0.174 #> y.d | y.e | -0.42 | [-0.72, 0.03] | -1.94 | > .999 #> #> p-value adjustment method: Holm (1979) #> Observations: 20
Created on 2022-09-09 by the reprex package (v2.0.1)
sessioninfo::session_info() #> ─ Session info ─────────────────────────────────────────────────────────────── #> setting value #> version R version 4.2.1 (2022-06-23) #> os macOS Big Sur ... 10.16 #> system x86_64, darwin17.0 #> ui X11 #> language (EN) #> collate en_AU.UTF-8 #> ctype en_AU.UTF-8 #> tz Australia/Sydney #> date 2022-09-09 #> pandoc 2.19 @ /usr/local/bin/ (via rmarkdown) #> #> ─ Packages ─────────────────────────────────────────────────────────────────── #> package * version date (UTC) lib source #> bayestestR 0.12.1 2022-05-02 [1] CRAN (R 4.2.0) #> cli 3.3.0 2022-04-25 [1] CRAN (R 4.2.0) #> correlation * 0.8.2 2022-08-09 [1] CRAN (R 4.2.0) #> datawizard 0.5.1 2022-08-17 [1] CRAN (R 4.2.0) #> digest 0.6.29 2021-12-01 [1] CRAN (R 4.2.0) #> evaluate 0.16 2022-08-09 [1] CRAN (R 4.2.0) #> fansi 1.0.3 2022-03-24 [1] CRAN (R 4.2.0) #> fastmap 1.1.0 2021-01-25 [1] CRAN (R 4.2.0) #> fs 1.5.2 2021-12-08 [1] CRAN (R 4.2.0) #> glue 1.6.2 2022-02-24 [1] CRAN (R 4.2.0) #> highr 0.9 2021-04-16 [1] CRAN (R 4.2.0) #> htmltools 0.5.3 2022-07-18 [1] CRAN (R 4.2.0) #> insight 0.18.2 2022-08-10 [1] CRAN (R 4.2.0) #> knitr 1.39 2022-04-26 [1] CRAN (R 4.2.0) #> lattice 0.20-45 2021-09-22 [1] CRAN (R 4.2.1) #> lifecycle 1.0.1 2021-09-24 [1] CRAN (R 4.2.0) #> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.2.0) #> mnormt 2.1.0 2022-06-07 [1] CRAN (R 4.2.0) #> nlme 3.1-157 2022-03-25 [1] CRAN (R 4.2.1) #> parameters 0.18.2 2022-08-10 [1] CRAN (R 4.2.0) #> pillar 1.8.1 2022-08-19 [1] CRAN (R 4.2.0) #> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.2.0) #> psych 2.2.5 2022-05-10 [1] CRAN (R 4.2.0) #> purrr 0.3.4 2020-04-17 [1] CRAN (R 4.2.0) #> R.cache 0.16.0 2022-07-21 [1] CRAN (R 4.2.0) #> R.methodsS3 1.8.2 2022-06-13 [1] CRAN (R 4.2.0) #> R.oo 1.25.0 2022-06-12 [1] CRAN (R 4.2.0) #> R.utils 2.12.0 2022-06-28 [1] CRAN (R 4.2.0) #> reprex 2.0.1 2021-08-05 [1] CRAN (R 4.2.0) #> rlang 1.0.4 2022-07-12 [1] CRAN (R 4.2.0) #> rmarkdown 2.14 2022-04-25 [1] CRAN (R 4.2.0) #> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.2.0) #> stringi 1.7.8 2022-07-11 [1] CRAN (R 4.2.0) #> stringr 1.4.0 2019-02-10 [1] CRAN (R 4.2.0) #> styler 1.7.0 2022-03-13 [1] CRAN (R 4.2.0) #> tibble 3.1.8 2022-07-22 [1] CRAN (R 4.2.0) #> utf8 1.2.2 2021-07-24 [1] CRAN (R 4.2.0) #> vctrs 0.4.1 2022-04-13 [1] CRAN (R 4.2.0) #> withr 2.5.0 2022-03-03 [1] CRAN (R 4.2.0) #> xfun 0.31 2022-05-10 [1] CRAN (R 4.2.0) #> yaml 2.3.5 2022-02-21 [1] CRAN (R 4.2.0) #> #> [1] /Library/Frameworks/R.framework/Versions/4.2/Resources/library #> #> ──────────────────────────────────────────────────────────────────────────────
The text was updated successfully, but these errors were encountered:
correlation
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I assumed that if I use
method = "auto"
for ordinal variables I'd get a polychoric correlation, but instead I get the following:Created on 2022-09-09 by the reprex package (v2.0.1)
Session info
The text was updated successfully, but these errors were encountered: