Dataframe used to compute cross-time correlations.
Details
Dataframe used to calculate the association of a variable across multiple time points. It is especially useful when there are three or more time points.
See also
Other correlations:
addText(),
cor.table(),
crossTimeCorrelation(),
partialcor.table(),
vwReg()
Examples
# Prepare Data
df <- expand.grid(ID = 1:100, time = c(1, 2, 3))
df <- df[order(df$ID),]
row.names(df) <- NULL
df$score <- rnorm(nrow(df))
# Cross-Time Correlation
crossTimeCorrelationDF(id = "ID", time = "time", variable = "score", data = df)
#> ID time1 time2
#> 1 1 -1.07806726 -1.14356572
#> 2 1 -1.14356572 -0.52964368
#> 3 2 -0.68127316 -0.20244756
#> 4 2 -0.20244756 1.68449572
#> 5 3 -1.03377324 -0.15597667
#> 6 3 -0.15597667 -0.04640064
#> 7 4 -0.95362873 0.41626080
#> 8 4 0.41626080 0.11402961
#> 9 5 0.06391875 -0.91933224
#> 10 5 -0.91933224 0.90133529
#> 11 6 -0.79772830 0.66822120
#> 12 6 0.66822120 0.15521430
#> 13 7 0.12868809 -1.53306545
#> 14 7 -1.53306545 0.20236067
#> 15 8 -0.71753865 0.36169476
#> 16 8 0.36169476 1.39900429
#> 17 9 0.37269896 -1.56564429
#> 18 9 -1.56564429 -0.05169454
#> 19 10 0.51408210 0.54989952
#> 20 10 0.54989952 0.86781691
#> 21 11 0.68436008 -0.16267998
#> 22 11 -0.16267998 -1.78436472
#> 23 12 -1.03714557 0.83014772
#> 24 12 0.83014772 0.60734694
#> 25 13 -0.12218636 0.93312514
#> 26 13 0.93312514 -0.96127668
#> 27 14 0.25508171 -0.54540157
#> 28 14 -0.54540157 0.93036074
#> 29 15 -0.53765056 -0.45242607
#> 30 15 -0.45242607 -0.43929097
#> 31 16 -0.61622311 0.44163455
#> 32 16 0.44163455 0.48259745
#> 33 17 0.54214438 -2.29078465
#> 34 17 -2.29078465 0.31035185
#> 35 18 1.40407898 1.37711764
#> 36 18 1.37711764 1.06039565
#> 37 19 0.63217289 1.08492804
#> 38 19 1.08492804 1.35645944
#> 39 20 0.36242404 2.16934446
#> 40 20 2.16934446 0.13913051
#> 41 21 1.37632653 -0.49144999
#> 42 21 -0.49144999 1.53491576
#> 43 22 -0.41619872 -0.52054380
#> 44 22 -0.52054380 0.85058387
#> 45 23 0.33449657 -0.82935177
#> 46 23 -0.82935177 -0.21869594
#> 47 24 -1.54508372 0.23322978
#> 48 24 0.23322978 0.03106964
#> 49 25 0.35786565 1.60862422
#> 50 25 1.60862422 1.42985426
#> 51 26 -0.94833964 1.01570554
#> 52 26 1.01570554 0.03773461
#> 53 27 -1.74423940 -0.97007381
#> 54 27 -0.97007381 -0.22902736
#> 55 28 -0.97484568 2.69237242
#> 56 28 2.69237242 1.39239386
#> 57 29 1.36007615 -0.36541588
#> 58 29 -0.36541588 -0.86893720
#> 59 30 -0.50655673 1.21470730
#> 60 30 1.21470730 0.50695868
#> 61 31 -2.09497131 0.03407924
#> 62 31 0.03407924 0.85272870
#> 63 32 0.74322814 0.55715361
#> 64 32 0.55715361 -1.24858322
#> 65 33 -0.20787431 0.42396946
#> 66 33 0.42396946 -0.50669744
#> 67 34 -0.61152331 2.41165945
#> 68 34 2.41165945 -0.16495814
#> 69 35 -0.44040605 0.52197617
#> 70 35 0.52197617 -1.91832225
#> 71 36 -1.98264996 0.52120016
#> 72 36 0.52120016 0.77778320
#> 73 37 -0.81211887 0.91074832
#> 74 37 0.91074832 0.94875395
#> 75 38 -1.34804945 0.35417586
#> 76 38 0.35417586 0.53026393
#> 77 39 -0.31097493 -0.24415553
#> 78 39 -0.24415553 -0.29187819
#> 79 40 -1.12808616 -1.12288159
#> 80 40 -1.12288159 2.05393864
#> 81 41 -0.90951843 0.45837916
#> 82 41 0.45837916 -0.04661845
#> 83 42 -0.68095460 -1.48882940
#> 84 42 -1.48882940 -0.39251301
#> 85 43 -1.74968202 -0.03866763
#> 86 43 -0.03866763 -0.79715324
#> 87 44 -0.91592054 0.07326746
#> 88 44 0.07326746 1.23817132
#> 89 45 0.71837134 0.53946650
#> 90 45 0.53946650 -1.06123399
#> 91 46 -0.54073787 -0.71520471
#> 92 46 -0.71520471 -0.17892009
#> 93 47 0.16497028 -0.72740817
#> 94 47 -0.72740817 -0.53783713
#> 95 48 -0.59966490 1.18208775
#> 96 48 1.18208775 0.18921288
#> 97 49 0.24894911 1.04664341
#> 98 49 1.04664341 -1.28930094
#> 99 50 0.37511557 -0.55691839
#> 100 50 -0.55691839 0.30242663
#> 101 51 0.22226647 -0.96216696
#> 102 51 -0.96216696 0.05203237
#> 103 52 0.90004038 -0.39490088
#> 104 52 -0.39490088 0.95414600
#> 105 53 -0.58821435 -1.47658453
#> 106 53 -1.47658453 -1.37777577
#> 107 54 -1.34567231 -0.73663796
#> 108 54 -0.73663796 -0.47011150
#> 109 55 1.38060934 1.67501093
#> 110 55 1.67501093 1.17690663
#> 111 56 -0.14889834 -0.17782336
#> 112 56 -0.17782336 0.80312186
#> 113 57 -0.41579535 1.21248959
#> 114 57 1.21248959 1.24036003
#> 115 58 0.68567588 -0.02679868
#> 116 58 -0.02679868 0.30958051
#> 117 59 0.24986433 -1.35646087
#> 118 59 -1.35646087 0.59937977
#> 119 60 0.00864779 0.09071661
#> 120 60 0.09071661 -0.65705741
#> 121 61 -0.48178225 0.01775788
#> 122 61 0.01775788 -0.85953576
#> 123 62 1.35770498 1.21506118
#> 124 62 1.21506118 1.45391292
#> 125 63 -0.08591198 -0.61756875
#> 126 63 -0.61756875 -0.21826025
#> 127 64 -1.32600521 -2.36220890
#> 128 64 -2.36220890 -1.40996955
#> 129 65 0.25439714 0.29587030
#> 130 65 0.29587030 0.05678979
#> 131 66 -0.10265486 1.95192303
#> 132 66 1.95192303 0.87856596
#> 133 67 -1.30661693 0.09034427
#> 134 67 0.09034427 0.90235804
#> 135 68 0.54942132 -0.86983920
#> 136 68 -0.86983920 -0.03921465
#> 137 69 -0.51845168 -0.91184962
#> 138 69 -0.91184962 0.15031364
#> 139 70 0.44035545 1.31978206
#> 140 70 1.31978206 0.24656113
#> 141 71 0.94182660 -0.34215133
#> 142 71 -0.34215133 -0.27614681
#> 143 72 0.38365678 1.44691022
#> 144 72 1.44691022 1.73390029
#> 145 73 0.45642938 0.70750349
#> 146 73 0.70750349 2.06378922
#> 147 74 0.02391059 0.24594946
#> 148 74 0.24594946 0.27205914
#> 149 75 -0.99245858 -0.02757795
#> 150 75 -0.02757795 2.22284516
#> 151 76 0.15550390 -0.86911632
#> 152 76 -0.86911632 -1.17448945
#> 153 77 -1.75967731 0.05836159
#> 154 77 0.05836159 1.16451986
#> 155 78 0.33762789 -1.05451872
#> 156 78 -1.05451872 0.66076911
#> 157 79 -0.82340900 0.43703366
#> 158 79 0.43703366 0.37238811
#> 159 80 -1.64674913 -1.92355227
#> 160 80 -1.92355227 0.38083303
#> 161 81 1.37570535 0.82584873
#> 162 81 0.82584873 -0.41611500
#> 163 82 0.98214959 0.24218073
#> 164 82 0.24218073 -0.93792685
#> 165 83 1.50585850 -1.06585117
#> 166 83 -1.06585117 0.16227053
#> 167 84 0.26047039 -1.48820199
#> 168 84 -1.48820199 1.41518387
#> 169 85 0.56250751 0.64205574
#> 170 85 0.64205574 -0.89053264
#> 171 86 -0.11653752 -0.94197475
#> 172 86 -0.94197475 1.11582792
#> 173 87 0.47013513 0.86061271
#> 174 87 0.86061271 -0.07039665
#> 175 88 -0.61318021 -0.33671496
#> 176 88 -0.33671496 -0.21584018
#> 177 89 0.62113229 -1.28402652
#> 178 89 -1.28402652 -1.30009244
#> 179 90 -0.37676946 0.10374865
#> 180 90 0.10374865 -0.70356227
#> 181 91 1.49741394 -0.30282688
#> 182 91 -0.30282688 -1.37683133
#> 183 92 0.88317017 0.67142028
#> 184 92 0.67142028 1.23002238
#> 185 93 1.64546788 -0.18292604
#> 186 93 -0.18292604 -1.37925781
#> 187 94 1.25060060 -1.87623677
#> 188 94 -1.87623677 -0.36878757
#> 189 95 -2.12929731 0.33764603
#> 190 95 0.33764603 -1.57457485
#> 191 96 -0.19631941 0.91506011
#> 192 96 0.91506011 1.07863654
#> 193 97 1.45280285 -1.65328109
#> 194 97 -1.65328109 -2.76186752
#> 195 98 0.26436916 1.02457159
#> 196 98 1.02457159 -0.65918555
#> 197 99 -0.38630438 -0.24249895
#> 198 99 -0.24249895 0.22059324
#> 199 100 -1.48109003 0.72469120
#> 200 100 0.72469120 -2.37751470
