mem.plotran: Plot random effects histograms for a fitted mixed-effects...
In hamlet: Hierarchical Optimal Matching and Machine Learning Toolbox
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
This plot creates histogram plots for the columns extracted from random effects from a model fit. This is useful for model diagnostics, such as observing deviations from normality in the random effects.
Usage
1
mem.plotran(fit, breaks = 100)
Arguments
fit
A fitted mixed-effects model generated either through the lme4 or the nlme package.
breaks
Number of breaks in the histograms (passed to the 'hist'-function)
Author(s)
Teemu Daniel Laajala <teelaa@utu.fi>
See Also
Examples
1
2
3
4
5
6
7
8
9
Example output
Loading required package: Matrix
$ID
(Intercept) DrugWeek
ID003 1.02994526 -0.24945102
ID009 0.09322637 -0.02924680
ID010 -0.39914405 0.08240203
ID016 0.43698593 0.03367724
ID031 -1.00714050 0.03092497
ID032 -0.47100869 0.02826516
ID037 0.42179935 0.17701942
ID040 0.66041311 0.03790908
ID045 0.13393772 0.04567836
ID054 1.58133264 0.03686119
ID056 0.93192560 0.08947408
ID075 -0.55850323 0.15256946
ID078 -0.57013198 -0.10206459
ID084 -0.60103865 -0.03846438
ID101 0.21780943 0.01149466
ID103 -0.36902838 -0.04919024
ID104 -0.42458519 -0.13116677
ID113 -0.53245319 -0.08580474
ID116 0.74422907 -0.46904159
ID125 0.24882778 -0.07803225
ID141 -0.61018503 0.05710768
ID144 -0.31226034 0.10897810
ID152 0.32515455 0.04884603
ID157 -0.50032013 0.14382223
ID158 -0.80996791 -0.05418933
ID160 0.57334350 -0.04578621
ID162 -0.08643625 0.01917847
ID174 0.48548965 0.05996185
ID182 -0.53662533 0.07864144
ID198 -0.09559112 0.08962648
with conditional variances for "ID"
$ID
$ID$`(Intercept)`
$breaks
[1] -1.02 -1.00 -0.98 -0.96 -0.94 -0.92 -0.90 -0.88 -0.86 -0.84 -0.82 -0.80
[13] -0.78 -0.76 -0.74 -0.72 -0.70 -0.68 -0.66 -0.64 -0.62 -0.60 -0.58 -0.56
[25] -0.54 -0.52 -0.50 -0.48 -0.46 -0.44 -0.42 -0.40 -0.38 -0.36 -0.34 -0.32
[37] -0.30 -0.28 -0.26 -0.24 -0.22 -0.20 -0.18 -0.16 -0.14 -0.12 -0.10 -0.08
[49] -0.06 -0.04 -0.02 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16
[61] 0.18 0.20 0.22 0.24 0.26 0.28 0.30 0.32 0.34 0.36 0.38 0.40
[73] 0.42 0.44 0.46 0.48 0.50 0.52 0.54 0.56 0.58 0.60 0.62 0.64
[85] 0.66 0.68 0.70 0.72 0.74 0.76 0.78 0.80 0.82 0.84 0.86 0.88
[97] 0.90 0.92 0.94 0.96 0.98 1.00 1.02 1.04 1.06 1.08 1.10 1.12
[109] 1.14 1.16 1.18 1.20 1.22 1.24 1.26 1.28 1.30 1.32 1.34 1.36
[121] 1.38 1.40 1.42 1.44 1.46 1.48 1.50 1.52 1.54 1.56 1.58 1.60
$counts
[1] 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 1 1 2 1 0 1 0 1 0 1 1 0 0 1 0
[38] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 2 0
[75] 0 1 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
$density
[1] 1.666667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[9] 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000 0.000000
[17] 0.000000 0.000000 0.000000 0.000000 3.333333 0.000000 1.666667 1.666667
[25] 3.333333 1.666667 0.000000 1.666667 0.000000 1.666667 0.000000 1.666667
[33] 1.666667 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000
[41] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.333333 0.000000
[49] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.666667
[57] 0.000000 1.666667 0.000000 0.000000 0.000000 1.666667 0.000000 1.666667
[65] 0.000000 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000
[73] 3.333333 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 1.666667
[81] 0.000000 0.000000 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000
[89] 1.666667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[97] 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000 1.666667 0.000000
[105] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[113] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[121] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[129] 0.000000 0.000000 1.666667
$mids
[1] -1.01 -0.99 -0.97 -0.95 -0.93 -0.91 -0.89 -0.87 -0.85 -0.83 -0.81 -0.79
[13] -0.77 -0.75 -0.73 -0.71 -0.69 -0.67 -0.65 -0.63 -0.61 -0.59 -0.57 -0.55
[25] -0.53 -0.51 -0.49 -0.47 -0.45 -0.43 -0.41 -0.39 -0.37 -0.35 -0.33 -0.31
[37] -0.29 -0.27 -0.25 -0.23 -0.21 -0.19 -0.17 -0.15 -0.13 -0.11 -0.09 -0.07
[49] -0.05 -0.03 -0.01 0.01 0.03 0.05 0.07 0.09 0.11 0.13 0.15 0.17
[61] 0.19 0.21 0.23 0.25 0.27 0.29 0.31 0.33 0.35 0.37 0.39 0.41
[73] 0.43 0.45 0.47 0.49 0.51 0.53 0.55 0.57 0.59 0.61 0.63 0.65
[85] 0.67 0.69 0.71 0.73 0.75 0.77 0.79 0.81 0.83 0.85 0.87 0.89
[97] 0.91 0.93 0.95 0.97 0.99 1.01 1.03 1.05 1.07 1.09 1.11 1.13
[109] 1.15 1.17 1.19 1.21 1.23 1.25 1.27 1.29 1.31 1.33 1.35 1.37
[121] 1.39 1.41 1.43 1.45 1.47 1.49 1.51 1.53 1.55 1.57 1.59
$xname
[1] "y"
$equidist
[1] TRUE
attr(,"class")
[1] "histogram"
$ID$DrugWeek
$breaks
[1] -0.470 -0.465 -0.460 -0.455 -0.450 -0.445 -0.440 -0.435 -0.430 -0.425
[11] -0.420 -0.415 -0.410 -0.405 -0.400 -0.395 -0.390 -0.385 -0.380 -0.375
[21] -0.370 -0.365 -0.360 -0.355 -0.350 -0.345 -0.340 -0.335 -0.330 -0.325
[31] -0.320 -0.315 -0.310 -0.305 -0.300 -0.295 -0.290 -0.285 -0.280 -0.275
[41] -0.270 -0.265 -0.260 -0.255 -0.250 -0.245 -0.240 -0.235 -0.230 -0.225
[51] -0.220 -0.215 -0.210 -0.205 -0.200 -0.195 -0.190 -0.185 -0.180 -0.175
[61] -0.170 -0.165 -0.160 -0.155 -0.150 -0.145 -0.140 -0.135 -0.130 -0.125
[71] -0.120 -0.115 -0.110 -0.105 -0.100 -0.095 -0.090 -0.085 -0.080 -0.075
[81] -0.070 -0.065 -0.060 -0.055 -0.050 -0.045 -0.040 -0.035 -0.030 -0.025
[91] -0.020 -0.015 -0.010 -0.005 0.000 0.005 0.010 0.015 0.020 0.025
[101] 0.030 0.035 0.040 0.045 0.050 0.055 0.060 0.065 0.070 0.075
[111] 0.080 0.085 0.090 0.095 0.100 0.105 0.110 0.115 0.120 0.125
[121] 0.130 0.135 0.140 0.145 0.150 0.155 0.160 0.165 0.170 0.175
[131] 0.180
$counts
[1] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[38] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
[75] 0 0 1 0 1 0 0 0 0 1 2 0 1 0 1 0 0 0 0 0 0 0 1 1 0 1 2 2 0 2 0 2 0 0 0 1 1
[112] 2 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 1
$density
[1] 6.666667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[8] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[15] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[22] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[29] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[36] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[43] 0.000000 0.000000 6.666667 0.000000 0.000000 0.000000 0.000000
[50] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[57] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[64] 0.000000 0.000000 0.000000 0.000000 6.666667 0.000000 0.000000
[71] 0.000000 0.000000 0.000000 6.666667 0.000000 0.000000 6.666667
[78] 0.000000 6.666667 0.000000 0.000000 0.000000 0.000000 6.666667
[85] 13.333333 0.000000 6.666667 0.000000 6.666667 0.000000 0.000000
[92] 0.000000 0.000000 0.000000 0.000000 0.000000 6.666667 6.666667
[99] 0.000000 6.666667 13.333333 13.333333 0.000000 13.333333 0.000000
[106] 13.333333 0.000000 0.000000 0.000000 6.666667 6.666667 13.333333
[113] 0.000000 0.000000 0.000000 6.666667 0.000000 0.000000 0.000000
[120] 0.000000 0.000000 0.000000 6.666667 0.000000 6.666667 0.000000
[127] 0.000000 0.000000 0.000000 6.666667
$mids
[1] -0.4675 -0.4625 -0.4575 -0.4525 -0.4475 -0.4425 -0.4375 -0.4325 -0.4275
[10] -0.4225 -0.4175 -0.4125 -0.4075 -0.4025 -0.3975 -0.3925 -0.3875 -0.3825
[19] -0.3775 -0.3725 -0.3675 -0.3625 -0.3575 -0.3525 -0.3475 -0.3425 -0.3375
[28] -0.3325 -0.3275 -0.3225 -0.3175 -0.3125 -0.3075 -0.3025 -0.2975 -0.2925
[37] -0.2875 -0.2825 -0.2775 -0.2725 -0.2675 -0.2625 -0.2575 -0.2525 -0.2475
[46] -0.2425 -0.2375 -0.2325 -0.2275 -0.2225 -0.2175 -0.2125 -0.2075 -0.2025
[55] -0.1975 -0.1925 -0.1875 -0.1825 -0.1775 -0.1725 -0.1675 -0.1625 -0.1575
[64] -0.1525 -0.1475 -0.1425 -0.1375 -0.1325 -0.1275 -0.1225 -0.1175 -0.1125
[73] -0.1075 -0.1025 -0.0975 -0.0925 -0.0875 -0.0825 -0.0775 -0.0725 -0.0675
[82] -0.0625 -0.0575 -0.0525 -0.0475 -0.0425 -0.0375 -0.0325 -0.0275 -0.0225
[91] -0.0175 -0.0125 -0.0075 -0.0025 0.0025 0.0075 0.0125 0.0175 0.0225
[100] 0.0275 0.0325 0.0375 0.0425 0.0475 0.0525 0.0575 0.0625 0.0675
[109] 0.0725 0.0775 0.0825 0.0875 0.0925 0.0975 0.1025 0.1075 0.1125
[118] 0.1175 0.1225 0.1275 0.1325 0.1375 0.1425 0.1475 0.1525 0.1575
[127] 0.1625 0.1675 0.1725 0.1775
$xname
[1] "y"
$equidist
[1] TRUE
attr(,"class")
[1] "histogram"
hamlet documentation built on May 1, 2019, 8:40 p.m.
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Description Usage Arguments Author(s) See Also Examples
Description
This plot creates histogram plots for the columns extracted from random effects from a model fit. This is useful for model diagnostics, such as observing deviations from normality in the random effects.
Usage
1 | mem.plotran(fit, breaks = 100)
|
Arguments
fit |
A fitted mixed-effects model generated either through the lme4 or the nlme package. |
breaks |
Number of breaks in the histograms (passed to the 'hist'-function) |
Author(s)
Teemu Daniel Laajala <teelaa@utu.fi>
See Also
Examples
1 2 3 4 5 6 7 8 9 |
Example output
Loading required package: Matrix
$ID
(Intercept) DrugWeek
ID003 1.02994526 -0.24945102
ID009 0.09322637 -0.02924680
ID010 -0.39914405 0.08240203
ID016 0.43698593 0.03367724
ID031 -1.00714050 0.03092497
ID032 -0.47100869 0.02826516
ID037 0.42179935 0.17701942
ID040 0.66041311 0.03790908
ID045 0.13393772 0.04567836
ID054 1.58133264 0.03686119
ID056 0.93192560 0.08947408
ID075 -0.55850323 0.15256946
ID078 -0.57013198 -0.10206459
ID084 -0.60103865 -0.03846438
ID101 0.21780943 0.01149466
ID103 -0.36902838 -0.04919024
ID104 -0.42458519 -0.13116677
ID113 -0.53245319 -0.08580474
ID116 0.74422907 -0.46904159
ID125 0.24882778 -0.07803225
ID141 -0.61018503 0.05710768
ID144 -0.31226034 0.10897810
ID152 0.32515455 0.04884603
ID157 -0.50032013 0.14382223
ID158 -0.80996791 -0.05418933
ID160 0.57334350 -0.04578621
ID162 -0.08643625 0.01917847
ID174 0.48548965 0.05996185
ID182 -0.53662533 0.07864144
ID198 -0.09559112 0.08962648
with conditional variances for "ID"
$ID
$ID$`(Intercept)`
$breaks
[1] -1.02 -1.00 -0.98 -0.96 -0.94 -0.92 -0.90 -0.88 -0.86 -0.84 -0.82 -0.80
[13] -0.78 -0.76 -0.74 -0.72 -0.70 -0.68 -0.66 -0.64 -0.62 -0.60 -0.58 -0.56
[25] -0.54 -0.52 -0.50 -0.48 -0.46 -0.44 -0.42 -0.40 -0.38 -0.36 -0.34 -0.32
[37] -0.30 -0.28 -0.26 -0.24 -0.22 -0.20 -0.18 -0.16 -0.14 -0.12 -0.10 -0.08
[49] -0.06 -0.04 -0.02 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16
[61] 0.18 0.20 0.22 0.24 0.26 0.28 0.30 0.32 0.34 0.36 0.38 0.40
[73] 0.42 0.44 0.46 0.48 0.50 0.52 0.54 0.56 0.58 0.60 0.62 0.64
[85] 0.66 0.68 0.70 0.72 0.74 0.76 0.78 0.80 0.82 0.84 0.86 0.88
[97] 0.90 0.92 0.94 0.96 0.98 1.00 1.02 1.04 1.06 1.08 1.10 1.12
[109] 1.14 1.16 1.18 1.20 1.22 1.24 1.26 1.28 1.30 1.32 1.34 1.36
[121] 1.38 1.40 1.42 1.44 1.46 1.48 1.50 1.52 1.54 1.56 1.58 1.60
$counts
[1] 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 2 0 1 1 2 1 0 1 0 1 0 1 1 0 0 1 0
[38] 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 1 0 0 0 0 2 0
[75] 0 1 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
$density
[1] 1.666667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[9] 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000 0.000000
[17] 0.000000 0.000000 0.000000 0.000000 3.333333 0.000000 1.666667 1.666667
[25] 3.333333 1.666667 0.000000 1.666667 0.000000 1.666667 0.000000 1.666667
[33] 1.666667 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000
[41] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.333333 0.000000
[49] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.666667
[57] 0.000000 1.666667 0.000000 0.000000 0.000000 1.666667 0.000000 1.666667
[65] 0.000000 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000
[73] 3.333333 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000 1.666667
[81] 0.000000 0.000000 0.000000 0.000000 1.666667 0.000000 0.000000 0.000000
[89] 1.666667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[97] 0.000000 1.666667 0.000000 0.000000 0.000000 0.000000 1.666667 0.000000
[105] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[113] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[121] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[129] 0.000000 0.000000 1.666667
$mids
[1] -1.01 -0.99 -0.97 -0.95 -0.93 -0.91 -0.89 -0.87 -0.85 -0.83 -0.81 -0.79
[13] -0.77 -0.75 -0.73 -0.71 -0.69 -0.67 -0.65 -0.63 -0.61 -0.59 -0.57 -0.55
[25] -0.53 -0.51 -0.49 -0.47 -0.45 -0.43 -0.41 -0.39 -0.37 -0.35 -0.33 -0.31
[37] -0.29 -0.27 -0.25 -0.23 -0.21 -0.19 -0.17 -0.15 -0.13 -0.11 -0.09 -0.07
[49] -0.05 -0.03 -0.01 0.01 0.03 0.05 0.07 0.09 0.11 0.13 0.15 0.17
[61] 0.19 0.21 0.23 0.25 0.27 0.29 0.31 0.33 0.35 0.37 0.39 0.41
[73] 0.43 0.45 0.47 0.49 0.51 0.53 0.55 0.57 0.59 0.61 0.63 0.65
[85] 0.67 0.69 0.71 0.73 0.75 0.77 0.79 0.81 0.83 0.85 0.87 0.89
[97] 0.91 0.93 0.95 0.97 0.99 1.01 1.03 1.05 1.07 1.09 1.11 1.13
[109] 1.15 1.17 1.19 1.21 1.23 1.25 1.27 1.29 1.31 1.33 1.35 1.37
[121] 1.39 1.41 1.43 1.45 1.47 1.49 1.51 1.53 1.55 1.57 1.59
$xname
[1] "y"
$equidist
[1] TRUE
attr(,"class")
[1] "histogram"
$ID$DrugWeek
$breaks
[1] -0.470 -0.465 -0.460 -0.455 -0.450 -0.445 -0.440 -0.435 -0.430 -0.425
[11] -0.420 -0.415 -0.410 -0.405 -0.400 -0.395 -0.390 -0.385 -0.380 -0.375
[21] -0.370 -0.365 -0.360 -0.355 -0.350 -0.345 -0.340 -0.335 -0.330 -0.325
[31] -0.320 -0.315 -0.310 -0.305 -0.300 -0.295 -0.290 -0.285 -0.280 -0.275
[41] -0.270 -0.265 -0.260 -0.255 -0.250 -0.245 -0.240 -0.235 -0.230 -0.225
[51] -0.220 -0.215 -0.210 -0.205 -0.200 -0.195 -0.190 -0.185 -0.180 -0.175
[61] -0.170 -0.165 -0.160 -0.155 -0.150 -0.145 -0.140 -0.135 -0.130 -0.125
[71] -0.120 -0.115 -0.110 -0.105 -0.100 -0.095 -0.090 -0.085 -0.080 -0.075
[81] -0.070 -0.065 -0.060 -0.055 -0.050 -0.045 -0.040 -0.035 -0.030 -0.025
[91] -0.020 -0.015 -0.010 -0.005 0.000 0.005 0.010 0.015 0.020 0.025
[101] 0.030 0.035 0.040 0.045 0.050 0.055 0.060 0.065 0.070 0.075
[111] 0.080 0.085 0.090 0.095 0.100 0.105 0.110 0.115 0.120 0.125
[121] 0.130 0.135 0.140 0.145 0.150 0.155 0.160 0.165 0.170 0.175
[131] 0.180
$counts
[1] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[38] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
[75] 0 0 1 0 1 0 0 0 0 1 2 0 1 0 1 0 0 0 0 0 0 0 1 1 0 1 2 2 0 2 0 2 0 0 0 1 1
[112] 2 0 0 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 1
$density
[1] 6.666667 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[8] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[15] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[22] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[29] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[36] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[43] 0.000000 0.000000 6.666667 0.000000 0.000000 0.000000 0.000000
[50] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[57] 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
[64] 0.000000 0.000000 0.000000 0.000000 6.666667 0.000000 0.000000
[71] 0.000000 0.000000 0.000000 6.666667 0.000000 0.000000 6.666667
[78] 0.000000 6.666667 0.000000 0.000000 0.000000 0.000000 6.666667
[85] 13.333333 0.000000 6.666667 0.000000 6.666667 0.000000 0.000000
[92] 0.000000 0.000000 0.000000 0.000000 0.000000 6.666667 6.666667
[99] 0.000000 6.666667 13.333333 13.333333 0.000000 13.333333 0.000000
[106] 13.333333 0.000000 0.000000 0.000000 6.666667 6.666667 13.333333
[113] 0.000000 0.000000 0.000000 6.666667 0.000000 0.000000 0.000000
[120] 0.000000 0.000000 0.000000 6.666667 0.000000 6.666667 0.000000
[127] 0.000000 0.000000 0.000000 6.666667
$mids
[1] -0.4675 -0.4625 -0.4575 -0.4525 -0.4475 -0.4425 -0.4375 -0.4325 -0.4275
[10] -0.4225 -0.4175 -0.4125 -0.4075 -0.4025 -0.3975 -0.3925 -0.3875 -0.3825
[19] -0.3775 -0.3725 -0.3675 -0.3625 -0.3575 -0.3525 -0.3475 -0.3425 -0.3375
[28] -0.3325 -0.3275 -0.3225 -0.3175 -0.3125 -0.3075 -0.3025 -0.2975 -0.2925
[37] -0.2875 -0.2825 -0.2775 -0.2725 -0.2675 -0.2625 -0.2575 -0.2525 -0.2475
[46] -0.2425 -0.2375 -0.2325 -0.2275 -0.2225 -0.2175 -0.2125 -0.2075 -0.2025
[55] -0.1975 -0.1925 -0.1875 -0.1825 -0.1775 -0.1725 -0.1675 -0.1625 -0.1575
[64] -0.1525 -0.1475 -0.1425 -0.1375 -0.1325 -0.1275 -0.1225 -0.1175 -0.1125
[73] -0.1075 -0.1025 -0.0975 -0.0925 -0.0875 -0.0825 -0.0775 -0.0725 -0.0675
[82] -0.0625 -0.0575 -0.0525 -0.0475 -0.0425 -0.0375 -0.0325 -0.0275 -0.0225
[91] -0.0175 -0.0125 -0.0075 -0.0025 0.0025 0.0075 0.0125 0.0175 0.0225
[100] 0.0275 0.0325 0.0375 0.0425 0.0475 0.0525 0.0575 0.0625 0.0675
[109] 0.0725 0.0775 0.0825 0.0875 0.0925 0.0975 0.1025 0.1075 0.1125
[118] 0.1175 0.1225 0.1275 0.1325 0.1375 0.1425 0.1475 0.1525 0.1575
[127] 0.1625 0.1675 0.1725 0.1775
$xname
[1] "y"
$equidist
[1] TRUE
attr(,"class")
[1] "histogram"
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