Linear mixed-effects model fit by REML
Data: structure(list(Unnamed..0 = 0:48, ID = structure(c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 6L, 6L, 6L, 6L, 6L, 6L, 6L), .Label = c("al", "an", "ca", "ch", "di", "es", "sa"), class = "factor"), ER = c(0.03125, 0.0625, 0.002, 0.002, 0.0625, 0.03125, 0.03125, 0.09375, 0.25, 0.03125, 0.0625, 0.0625, 0.002, 0.0625, 0.002, 0.0625, 0.002, 0.002, 0.002, 0.002, 0.002, 0.002, 0.125, 0.03125, 0.03125, 0.002, 0.0645161290322581, 0.002, 0.002, 0.09375, 0.0625, 0.03125, 0.03125, 0.032258064516129, 0.002, 0.002, 0.002, 0.032258064516129, 0.0625, 0.002, 0.002, 0.002, 0.002, 0.03125, 0.002, 0.0625, 0.002, 0.03125, 0.0625), scrambling = c(0L, 0L, 11L, 15L, 19L, 23L, 27L, 0L, 0L, 11L, 15L, 19L, 23L, 27L, 0L, 0L, 11L, 15L, 19L, 23L, 27L, 0L, 0L, 11L, 15L, 19L, 23L, 27L, 0L, 0L, 11L, 15L, 19L, 23L, 27L, 0L, 0L, 11L, 15L, 19L, 23L, 27L, 0L, 0L, 11L, 15L, 19L, 23L, 27L), intensity = c(100L, 40L, 100L, 100L, 100L, 100L, 100L, 100L, 40L, 100L, 100L, 100L, 100L, 100L, 100L, 40L, 100L, 100L, 100L, 100L, 100L, 100L, 40L, 100L, 100L, 100L, 100L, 100L, 100L, 40L, 100L, 100L, 100L, 100L, 100L, 100L, 40L, 100L, 100L, 100L, 100L, 100L, 100L, 40L, 100L, 100L, 100L, 100L, 100L), COI = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 1L, 2L, 3L, 4L, 5L, 6L, 7L ), .Label = c("em-easy", "em-hard", "sc-11", "sc-15", "sc-19", "sc-23", "sc-27"), class = "factor")), .Names = c("Unnamed..0", "ID", "ER", "scrambling", "intensity", "COI"), row.names = c("0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48"), class = "data.frame")
AIC BIC logLik
-123.1145 -107.4755 70.55727
Random effects:
Formula: ~1 | ID
(Intercept) Residual
StdDev: 0.01852927 0.03553786
Fixed effects: ER ~ COI
Value Std.Error DF t-value p-value
(Intercept) 0.01928571 0.01514819 36 1.273137 0.2111
COIem-hard 0.07028571 0.01899579 36 3.700069 0.0007
COIsc-11 0.00403687 0.01899579 36 0.212514 0.8329
COIsc-15 0.01700000 0.01899579 36 0.894935 0.3768
COIsc-19 0.00417857 0.01899579 36 0.219974 0.8271
COIsc-23 0.00432488 0.01899579 36 0.227676 0.8212
COIsc-27 0.00417857 0.01899579 36 0.219974 0.8271
Correlation:
(Intr) COIm-h COI-11 COI-15 COI-19 COI-23
COIem-hard -0.627
COIsc-11 -0.627 0.500
COIsc-15 -0.627 0.500 0.500
COIsc-19 -0.627 0.500 0.500 0.500
COIsc-23 -0.627 0.500 0.500 0.500 0.500
COIsc-27 -0.627 0.500 0.500 0.500 0.500 0.500
Standardized Within-Group Residuals:
Min Q1 Med Q3 Max
-2.1104173 -0.5285738 -0.1704946 0.2619151 3.6565814
Number of Observations: 49
Number of Groups: 7