For a directed network, calculate the outgoing transition probabilities of a random walker at each node. This is equivalent to the proportion of citations each journal allocates to each other journal.

cprofile(x, self)

# S3 method for default
cprofile(x, self = TRUE)

# S3 method for igraph
cprofile(x, self = TRUE)

Arguments

x

a matrix of citations (from columns to rows) or an igraph object

self

logical. Include self-citations? If FALSE, they will not be counted.

Value

A matrix of journal citation profiles.

See also

community_profile()

Examples

cprofile(citations)
#> 47 x 47 sparse Matrix of class "dgCMatrix"
#> [[ suppressing 33 column names ‘AmS’, ‘AISM’, ‘AoS’ ... ]]
#> [[ suppressing 33 column names ‘AmS’, ‘AISM’, ‘AoS’ ... ]]
#> #> AmS 0.260606061 0.006134969 0.00249066 . . . 0.008827238 #> AISM . 0.110429448 0.00373599 0.03030303 0.025 . . #> AoS 0.054545455 0.147239264 0.36239103 0.04040404 0.265 0.042755344 0.036569987 #> ANZS . 0.030674847 0.00249066 0.05050505 . . 0.002522068 #> Bern 0.006060606 0.042944785 0.03362391 . 0.110 . 0.002522068 #> BioJ . . 0.00373599 0.02020202 . 0.130641330 0.018915511 #> Bcs 0.054545455 0.006134969 0.01867995 0.10101010 0.020 0.106888361 0.240857503 #> Bka 0.042424242 0.061349693 0.04732254 0.05050505 0.070 0.033254157 0.075662043 #> Biost 0.024242424 . 0.00747198 . . 0.040380048 0.060529634 #> CJS . 0.012269939 0.00996264 0.01010101 0.015 0.002375297 0.007566204 #> CSSC 0.012121212 0.030674847 . 0.02020202 . 0.011876485 0.002522068 #> CSTM 0.006060606 0.030674847 . 0.03030303 0.005 0.007125891 . #> CmpSt . . 0.00124533 . 0.010 . . #> CSDA 0.036363636 0.036809816 0.02366127 . 0.015 0.035629454 0.018915511 #> EES . . . . . . 0.005044136 #> #> AmS 0.002008032 0.008356546 0.009345794 0.011961722 0.004672897 0.016129032 #> AISM 0.006024096 . . 0.014354067 0.028037383 . #> AoS 0.148594378 0.033426184 0.070093458 0.045454545 0.060747664 0.064516129 #> ANZS 0.004016064 . . 0.002392344 0.004672897 0.008064516 #> Bern 0.008032129 . 0.009345794 0.004784689 0.014018692 0.024193548 #> BioJ 0.014056225 0.002785515 . 0.009569378 0.009345794 0.016129032 #> Bcs 0.062248996 0.161559889 0.079439252 0.026315789 0.024922118 0.016129032 #> Bka 0.150602410 0.072423398 0.074766355 0.026315789 0.037383178 0.032258065 #> Biost 0.030120482 0.150417827 0.014018692 0.007177033 0.006230530 . #> CJS 0.008032129 0.005571031 0.074766355 0.009569378 0.012461059 0.016129032 #> CSSC . . . 0.069377990 0.029595016 0.040322581 #> CSTM . . . 0.071770335 0.147975078 0.024193548 #> CmpSt 0.002008032 0.002785515 . . 0.003115265 0.024193548 #> CSDA 0.020080321 0.016713092 0.051401869 0.098086124 0.038940810 0.177419355 #> EES . . . . 0.001557632 . #> #> AmS 0.008751459 0.014925373 . 0.0625 0.008333333 0.012048193 #> AISM 0.007001167 . 0.005617978 . . 0.005020080 #> AoS 0.042590432 0.014925373 0.033707865 . 0.016666667 0.126506024 #> ANZS 0.004667445 . . . . 0.005020080 #> Bern 0.005834306 . . . . 0.011044177 #> BioJ 0.015169195 . 0.005617978 . 0.008333333 0.005020080 #> Bcs 0.036172695 0.029850746 0.044943820 0.0250 0.250000000 0.069277108 #> Bka 0.037339557 0.007462687 0.044943820 0.0625 0.041666667 0.093373494 #> Biost 0.007584597 0.014925373 . . . 0.033132530 #> CJS 0.011668611 0.014925373 0.011235955 . . 0.014056225 #> CSSC 0.008751459 . . . . 0.003012048 #> CSTM 0.015169195 0.007462687 0.016853933 0.0250 . . #> CmpSt 0.007001167 . . . 0.016666667 0.004016064 #> CSDA 0.283547258 0.097014925 0.067415730 0.0500 0.075000000 0.022088353 #> EES 0.001750292 0.291044776 0.039325843 . 0.050000000 0.008032129 #> #> AmS 0.012853470 0.010752688 0.009836066 0.002838221 . 0.0078125 #> AISM . . 0.003278689 0.019867550 0.041237113 . #> AoS 0.023136247 0.021505376 0.101639344 0.128666036 0.154639175 . #> ANZS 0.012853470 . 0.003278689 0.011352886 0.003436426 . #> Bern . . 0.013114754 0.022705771 0.024054983 . #> BioJ 0.020565553 0.083333333 0.006557377 . 0.006872852 . #> Bcs 0.051413882 0.120967742 0.022950820 0.016083254 0.051546392 0.0312500 #> Bka 0.025706941 0.034946237 0.075409836 0.059602649 0.054982818 0.0078125 #> Biost 0.010282776 0.032258065 0.009836066 0.001892148 0.010309278 0.0703125 #> CJS 0.015424165 . 0.003278689 0.024597919 0.030927835 . #> CSSC 0.046272494 . . 0.003784295 . . #> CSTM 0.074550129 0.005376344 . 0.026490066 0.017182131 0.0078125 #> CmpSt 0.005141388 . 0.016393443 0.004730369 0.013745704 . #> CSDA 0.097686375 0.021505376 0.081967213 0.053926206 0.048109966 . #> EES . . . . . . #> #> AmS 0.003861004 0.018348624 0.003184713 0.008233533 0.027777778 0.009433962 #> AISM 0.011583012 . 0.012738854 0.020209581 0.003472222 0.028301887 #> AoS 0.146718147 0.032110092 0.050955414 0.080089820 0.024305556 0.084905660 #> ANZS . . 0.012738854 0.012724551 0.010416667 . #> Bern 0.011583012 . 0.012738854 0.014970060 0.006944444 0.037735849 #> BioJ . 0.004587156 0.015923567 0.007485030 0.006944444 . #> Bcs 0.019305019 0.137614679 0.019108280 0.026946108 0.045138889 0.028301887 #> Bka 0.081081081 0.036697248 0.022292994 0.059880240 0.024305556 0.018867925 #> Biost . 0.059633028 0.015923567 0.004491018 0.020833333 . #> CJS 0.011583012 0.004587156 0.006369427 0.011976048 0.013888889 . #> CSSC . . 0.031847134 0.005239521 . 0.018867925 #> CSTM 0.003861004 0.004587156 0.073248408 0.028443114 . . #> CmpSt 0.007722008 . 0.009554140 0.002245509 0.006944444 . #> CSDA 0.019305019 0.009174312 0.089171975 0.037425150 0.100694444 0.037735849 #> EES . 0.013761468 0.003184713 0.002245509 . . #> #> AmS . 0.012121212 ...... #> AISM . 0.054545455 ...... #> AoS 0.03141361 0.060606061 ...... #> ANZS . . ...... #> Bern . 0.006060606 ...... #> BioJ 0.03141361 0.012121212 ...... #> Bcs 0.14136126 0.018181818 ...... #> Bka 0.05235602 0.054545455 ...... #> Biost 0.05759162 . ...... #> CJS 0.01570681 0.018181818 ...... #> CSSC . 0.006060606 ...... #> CSTM 0.01047120 0.054545455 ...... #> CmpSt . . ...... #> CSDA 0.02094241 0.018181818 ...... #> EES . . ...... #> #> .............................. #> ........suppressing columns and rows in show(); maybe adjust 'options(max.print= *, width = *)' #> .............................. #>
#> [[ suppressing 33 column names ‘AmS’, ‘AISM’, ‘AoS’ ... ]]
#> #> Mtka . 0.012269939 0.00124533 . . . #> SJS 0.006060606 0.030674847 0.01867995 0.02020202 0.040 0.021377672 #> StataJ . . . . . . #> StCmp 0.012121212 . 0.00622665 . . 0.004750594 #> Stats . . 0.00373599 . . . #> StMed 0.115151515 0.006134969 0.00622665 0.01010101 . 0.244655582 #> SMMR 0.012121212 . . 0.01010101 . 0.016627078 #> StMod . . . . . 0.007125891 #> StNee 0.012121212 . 0.00622665 . . 0.002375297 #> StPap . . . 0.02020202 0.005 0.002375297 #> SPL . 0.049079755 0.01494396 0.05050505 0.040 0.014251781 #> StSci 0.078787879 . 0.01618929 0.01010101 0.035 0.007125891 #> StSin 0.018181818 0.036809816 0.03362391 0.04040404 0.040 0.011876485 #> Tech 0.012121212 0.006134969 0.00373599 0.03030303 0.005 0.002375297 #> Test . . 0.01494396 . . . #> #> Mtka . 0.004016064 . . 0.009569378 0.015576324 #> SJS 0.012610340 0.026104418 0.036211699 0.009345794 0.004784689 0.007788162 #> StataJ . . . . . . #> StCmp 0.013871375 0.008032129 0.019498607 0.014018692 0.004784689 0.001557632 #> Stats 0.001261034 0.004016064 . . 0.011961722 0.014018692 #> StMed 0.093316520 0.040160643 0.086350975 0.060747664 0.088516746 0.034267913 #> SMMR 0.006305170 0.004016064 0.013927577 0.014018692 . . #> StMod 0.003783102 . 0.005571031 0.009345794 0.009569378 . #> StNee . . 0.002785515 . 0.007177033 0.003115265 #> StPap . . . . 0.016746411 0.015576324 #> SPL 0.008827238 0.012048193 0.011142061 0.032710280 0.050239234 0.074766355 #> StSci 0.016393443 0.026104418 0.016713092 0.028037383 0.009569378 0.012461059 #> StSin 0.025220681 0.048192771 0.022284123 0.032710280 0.023923445 0.026479751 #> Tech 0.005044136 0.004016064 0.002785515 0.004672897 0.031100478 0.029595016 #> Test 0.005044136 0.008032129 . . 0.007177033 0.007788162 #> #> Mtka . 0.005250875 . . . . #> SJS 0.02419355 0.016336056 . 0.028089888 . 0.008333333 #> StataJ . 0.003500583 . . . . #> StCmp 0.03225806 0.014002334 . 0.005617978 0.0125 . #> Stats . 0.004084014 . 0.005617978 . . #> StMed 0.05645161 0.047257876 0.164179104 0.033707865 0.1000 0.033333333 #> SMMR . 0.004084014 0.022388060 . . . #> StMod . 0.004667445 . 0.016853933 . . #> StNee . 0.004084014 . . . . #> StPap . 0.006417736 . . . . #> SPL 0.02419355 0.019253209 . 0.033707865 0.0750 . #> StSci 0.01612903 0.009918320 0.022388060 0.005617978 0.0125 0.016666667 #> StSin 0.02419355 0.024504084 0.007462687 0.011235955 0.0375 0.008333333 #> Tech 0.02419355 0.019836639 . . . 0.008333333 #> Test . 0.006417736 . 0.011235955 . . #> #> Mtka 0.001004016 0.015424165 . . 0.0141911069 0.003436426 #> SJS 0.016064257 0.010282776 . 0.013114754 0.0227057711 0.030927835 #> StataJ . . . . . . #> StCmp 0.013052209 0.010282776 . 0.039344262 0.0037842952 0.003436426 #> Stats 0.002008032 0.007712082 . 0.003278689 0.0122989593 0.003436426 #> StMed 0.027108434 0.089974293 0.241935484 0.003278689 0.0047303690 0.003436426 #> SMMR 0.001004016 0.012853470 0.005376344 . 0.0028382214 . #> StMod 0.002008032 0.017994859 . 0.009836066 0.0028382214 . #> StNee 0.001004016 0.010282776 . . 0.0009460738 0.010309278 #> StPap . 0.007712082 . . 0.0037842952 . #> SPL 0.006024096 0.020565553 . 0.003278689 0.0586565752 0.068728522 #> StSci 0.018072289 0.012853470 0.018817204 0.019672131 0.0104068117 0.003436426 #> StSin 0.021084337 0.020565553 0.013440860 0.026229508 0.0293282876 0.037800687 #> Tech 0.009036145 0.023136247 0.010752688 0.019672131 0.0085146641 0.017182131 #> Test 0.010040161 0.002570694 0.005376344 . 0.0132450331 0.013745704 #> #> Mtka . . . 0.025477707 0.024700599 . #> SJS . 0.023166023 0.022935780 0.006369427 0.018712575 0.017361111 #> StataJ 0.0468750 . . . 0.001497006 . #> StCmp 0.0078125 0.030888031 0.013761468 0.003184713 0.003742515 0.003472222 #> Stats . . . 0.019108280 0.014221557 . #> StMed 0.2031250 0.011583012 0.128440367 0.047770701 0.024700599 0.079861111 #> SMMR 0.0312500 . 0.027522936 . 0.002245509 0.006944444 #> StMod . . . . 0.003742515 0.013888889 #> StNee 0.0156250 . 0.009174312 0.009554140 0.002245509 . #> StPap . . . 0.012738854 0.005988024 . #> SPL . 0.011583012 0.027522936 0.047770701 0.057634731 0.003472222 #> StSci 0.0078125 0.038610039 0.022935780 0.028662420 0.008982036 0.017361111 #> StSin . 0.034749035 0.027522936 0.015923567 0.036676647 0.013888889 #> Tech . 0.003861004 0.004587156 0.015923567 0.026197605 0.017361111 #> Test . 0.019305019 . 0.019108280 0.016467066 0.006944444 #> #> Mtka 0.018867925 . 0.121212121 ...... #> SJS 0.009433962 0.089005236 0.024242424 ...... #> StataJ . . . ...... #> StCmp 0.018867925 . . ...... #> Stats . . . ...... #> StMed . 0.078534031 0.012121212 ...... #> SMMR . . . ...... #> StMod . . . ...... #> StNee . 0.005235602 0.012121212 ...... #> StPap . . 0.024242424 ...... #> SPL 0.075471698 0.005235602 0.072727273 ...... #> StSci 0.047169811 0.015706806 0.006060606 ...... #> StSin 0.047169811 0.047120419 0.030303030 ...... #> Tech . 0.010471204 0.036363636 ...... #> Test . . . ......
cprofile(citations, self = FALSE)
#> 47 x 47 sparse Matrix of class "dgCMatrix"
#> [[ suppressing 33 column names ‘AmS’, ‘AISM’, ‘AoS’ ... ]]
#> [[ suppressing 33 column names ‘AmS’, ‘AISM’, ‘AoS’ ... ]]
#> #> AmS 0.000000000 0.006896552 0.003906250 . . . 0.011627907 #> AISM . 0.000000000 0.005859375 0.03191489 0.028089888 . . #> AoS 0.073770492 0.165517241 0.000000000 0.04255319 0.297752809 0.049180328 0.048172757 #> ANZS . 0.034482759 0.003906250 0.00000000 . . 0.003322259 #> Bern 0.008196721 0.048275862 0.052734375 . 0.000000000 . 0.003322259 #> BioJ . . 0.005859375 0.02127660 . 0.000000000 0.024916944 #> Bcs 0.073770492 0.006896552 0.029296875 0.10638298 0.022471910 0.122950820 0.000000000 #> Bka 0.057377049 0.068965517 0.074218750 0.05319149 0.078651685 0.038251366 0.099667774 #> Biost 0.032786885 . 0.011718750 . . 0.046448087 0.079734219 #> CJS . 0.013793103 0.015625000 0.01063830 0.016853933 0.002732240 0.009966777 #> CSSC 0.016393443 0.034482759 . 0.02127660 . 0.013661202 0.003322259 #> CSTM 0.008196721 0.034482759 . 0.03191489 0.005617978 0.008196721 . #> CmpSt . . 0.001953125 . 0.011235955 . . #> CSDA 0.049180328 0.041379310 0.037109375 . 0.016853933 0.040983607 0.024916944 #> EES . . . . . . 0.006644518 #> #> AmS 0.002364066 0.009836066 0.01010101 0.012853470 0.005484461 0.016528926 0.012214984 #> AISM 0.007092199 . . 0.015424165 0.032906764 . 0.009771987 #> AoS 0.174940898 0.039344262 0.07575758 0.048843188 0.071297989 0.066115702 0.059446254 #> ANZS 0.004728132 . . 0.002570694 0.005484461 0.008264463 0.006514658 #> Bern 0.009456265 . 0.01010101 0.005141388 0.016453382 0.024793388 0.008143322 #> BioJ 0.016548463 0.003278689 . 0.010282776 0.010968921 0.016528926 0.021172638 #> Bcs 0.073286052 0.190163934 0.08585859 0.028277635 0.029250457 0.016528926 0.050488599 #> Bka 0.000000000 0.085245902 0.08080808 0.028277635 0.043875686 0.033057851 0.052117264 #> Biost 0.035460993 0.000000000 0.01515152 0.007712082 0.007312614 . 0.010586319 #> CJS 0.009456265 0.006557377 0.00000000 0.010282776 0.014625229 0.016528926 0.016286645 #> CSSC . . . 0.000000000 0.034734918 0.041322314 0.012214984 #> CSTM . . . 0.077120823 0.000000000 0.024793388 0.021172638 #> CmpSt 0.002364066 0.003278689 . . 0.003656307 0.000000000 0.009771987 #> CSDA 0.023640662 0.019672131 0.05555556 0.105398458 0.045703839 0.181818182 0.000000000 #> EES . . . . 0.001828154 . 0.002442997 #> #> AmS 0.02105263 . 0.08333333 0.009615385 0.015706806 0.014124294 0.014545455 #> AISM . 0.006802721 . . 0.006544503 . . #> AoS 0.02105263 0.040816327 . 0.019230769 0.164921466 0.025423729 0.029090909 #> ANZS . . . . 0.006544503 0.014124294 . #> Bern . . . . 0.014397906 . . #> BioJ . 0.006802721 . 0.009615385 0.006544503 0.022598870 0.112727273 #> Bcs 0.04210526 0.054421769 0.03333333 0.288461538 0.090314136 0.056497175 0.163636364 #> Bka 0.01052632 0.054421769 0.08333333 0.048076923 0.121727749 0.028248588 0.047272727 #> Biost 0.02105263 . . . 0.043193717 0.011299435 0.043636364 #> CJS 0.02105263 0.013605442 . . 0.018324607 0.016949153 . #> CSSC . . . . 0.003926702 0.050847458 . #> CSTM 0.01052632 0.020408163 0.03333333 . . 0.081920904 0.007272727 #> CmpSt . . . 0.019230769 0.005235602 0.005649718 . #> CSDA 0.13684211 0.081632653 0.06666667 0.086538462 0.028795812 0.107344633 0.029090909 #> EES 0.00000000 0.047619048 . 0.057692308 0.010471204 . . #> #> AmS 0.011494253 0.003444317 . 0.01123596 0.004901961 0.019801980 0.003558719 #> AISM 0.003831418 0.024110218 0.043636364 . 0.014705882 . 0.014234875 #> AoS 0.118773946 0.156142365 0.163636364 . 0.186274510 0.034653465 0.056939502 #> ANZS 0.003831418 0.013777268 0.003636364 . . . 0.014234875 #> Bern 0.015325670 0.027554535 0.025454545 . 0.014705882 . 0.014234875 #> BioJ 0.007662835 . 0.007272727 . . 0.004950495 0.017793594 #> Bcs 0.026819923 0.019517796 0.054545455 0.04494382 0.024509804 0.148514851 0.021352313 #> Bka 0.088122605 0.072330654 0.058181818 0.01123596 0.102941176 0.039603960 0.024911032 #> Biost 0.011494253 0.002296211 0.010909091 0.10112360 . 0.064356436 0.017793594 #> CJS 0.003831418 0.029850746 0.032727273 . 0.014705882 0.004950495 0.007117438 #> CSSC . 0.004592423 . . . . 0.035587189 #> CSTM . 0.032146958 0.018181818 0.01123596 0.004901961 0.004950495 0.081850534 #> CmpSt 0.019157088 0.005740528 0.014545455 . 0.009803922 . 0.010676157 #> CSDA 0.095785441 0.065442021 0.050909091 . 0.024509804 0.009900990 0.099644128 #> EES . . . . . 0.014851485 0.003558719 #> #> AmS 0.009936766 0.040609137 0.01234568 . 0.013793103 ...... #> AISM 0.024390244 0.005076142 0.03703704 . 0.062068966 ...... #> AoS 0.096657633 0.035532995 0.11111111 0.03529412 0.068965517 ...... #> ANZS 0.015356820 0.015228426 . . . ...... #> Bern 0.018066847 0.010152284 0.04938272 . 0.006896552 ...... #> BioJ 0.009033424 0.010152284 . 0.03529412 0.013793103 ...... #> Bcs 0.032520325 0.065989848 0.03703704 0.15882353 0.020689655 ...... #> Bka 0.072267389 0.035532995 0.02469136 0.05882353 0.062068966 ...... #> Biost 0.005420054 0.030456853 . 0.06470588 . ...... #> CJS 0.014453478 0.020304569 . 0.01764706 0.020689655 ...... #> CSSC 0.006323397 . 0.02469136 . 0.006896552 ...... #> CSTM 0.034327010 . . 0.01176471 0.062068966 ...... #> CmpSt 0.002710027 0.010152284 . . . ...... #> CSDA 0.045167118 0.147208122 0.04938272 0.02352941 0.020689655 ...... #> EES 0.002710027 . . . . ...... #> #> .............................. #> ........suppressing columns and rows in show(); maybe adjust 'options(max.print= *, width = *)' #> .............................. #>
#> [[ suppressing 33 column names ‘AmS’, ‘AISM’, ‘AoS’ ... ]]
#> #> Mtka . 0.013793103 0.001953125 . . . #> SJS 0.008196721 0.034482759 0.029296875 0.02127660 0.044943820 0.024590164 #> StataJ . . . . . . #> StCmp 0.016393443 . 0.009765625 . . 0.005464481 #> Stats . . 0.005859375 . . . #> StMed 0.155737705 0.006896552 0.009765625 0.01063830 . 0.281420765 #> SMMR 0.016393443 . . 0.01063830 . 0.019125683 #> StMod . . . . . 0.008196721 #> StNee 0.016393443 . 0.009765625 . . 0.002732240 #> StPap . . . 0.02127660 0.005617978 0.002732240 #> SPL . 0.055172414 0.023437500 0.05319149 0.044943820 0.016393443 #> StSci 0.106557377 . 0.025390625 0.01063830 0.039325843 0.008196721 #> StSin 0.024590164 0.041379310 0.052734375 0.04255319 0.044943820 0.013661202 #> Tech 0.016393443 0.006896552 0.005859375 0.03191489 0.005617978 0.002732240 #> Test . . 0.023437500 . . . #> #> Mtka . 0.004728132 . . 0.010282776 0.018281536 #> SJS 0.016611296 0.030732861 0.042622951 0.010101010 0.005141388 0.009140768 #> StataJ . . . . . . #> StCmp 0.018272425 0.009456265 0.022950820 0.015151515 0.005141388 0.001828154 #> Stats 0.001661130 0.004728132 . . 0.012853470 0.016453382 #> StMed 0.122923588 0.047281324 0.101639344 0.065656566 0.095115681 0.040219378 #> SMMR 0.008305648 0.004728132 0.016393443 0.015151515 . . #> StMod 0.004983389 . 0.006557377 0.010101010 0.010282776 . #> StNee . . 0.003278689 . 0.007712082 0.003656307 #> StPap . . . . 0.017994859 0.018281536 #> SPL 0.011627907 0.014184397 0.013114754 0.035353535 0.053984576 0.087751371 #> StSci 0.021594684 0.030732861 0.019672131 0.030303030 0.010282776 0.014625229 #> StSin 0.033222591 0.056737589 0.026229508 0.035353535 0.025706941 0.031078611 #> Tech 0.006644518 0.004728132 0.003278689 0.005050505 0.033419023 0.034734918 #> Test 0.006644518 0.009456265 . . 0.007712082 0.009140768 #> #> Mtka . 0.007328990 . . . . 0.001308901 #> SJS 0.02479339 0.022801303 . 0.034013605 . 0.009615385 0.020942408 #> StataJ . 0.004885993 . . . . . #> StCmp 0.03305785 0.019543974 . 0.006802721 0.01666667 . 0.017015707 #> Stats . 0.005700326 . 0.006802721 . . 0.002617801 #> StMed 0.05785124 0.065960912 0.23157895 0.040816327 0.13333333 0.038461538 0.035340314 #> SMMR . 0.005700326 0.03157895 . . . 0.001308901 #> StMod . 0.006514658 . 0.020408163 . . 0.002617801 #> StNee . 0.005700326 . . . . 0.001308901 #> StPap . 0.008957655 . . . . . #> SPL 0.02479339 0.026872964 . 0.040816327 0.10000000 . 0.007853403 #> StSci 0.01652893 0.013843648 0.03157895 0.006802721 0.01666667 0.019230769 0.023560209 #> StSin 0.02479339 0.034201954 0.01052632 0.013605442 0.05000000 0.009615385 0.027486911 #> Tech 0.02479339 0.027687296 . . . 0.009615385 0.011780105 #> Test . 0.008957655 . 0.013605442 . . 0.013089005 #> #> Mtka 0.016949153 . . 0.017221584 0.003636364 . #> SJS 0.011299435 . 0.015325670 0.027554535 0.032727273 . #> StataJ . . . . . 0.06741573 #> StCmp 0.011299435 . 0.045977011 0.004592423 0.003636364 0.01123596 #> Stats 0.008474576 . 0.003831418 0.014925373 0.003636364 . #> StMed 0.098870056 0.327272727 0.003831418 0.005740528 0.003636364 0.29213483 #> SMMR 0.014124294 0.007272727 . 0.003444317 . 0.04494382 #> StMod 0.019774011 . 0.011494253 0.003444317 . . #> StNee 0.011299435 . . 0.001148106 0.010909091 0.02247191 #> StPap 0.008474576 . . 0.004592423 . . #> SPL 0.022598870 . 0.003831418 0.071182549 0.072727273 . #> StSci 0.014124294 0.025454545 0.022988506 0.012629162 0.003636364 0.01123596 #> StSin 0.022598870 0.018181818 0.030651341 0.035591274 0.040000000 . #> Tech 0.025423729 0.014545455 0.022988506 0.010332951 0.018181818 . #> Test 0.002824859 0.007272727 . 0.016073479 0.014545455 . #> #> Mtka . . 0.028469751 0.029810298 . 0.02469136 #> SJS 0.029411765 0.024752475 0.007117438 0.022583559 0.025380711 0.01234568 #> StataJ . . . 0.001806685 . . #> StCmp 0.039215686 0.014851485 0.003558719 0.004516712 0.005076142 0.02469136 #> Stats . . 0.021352313 0.017163505 . . #> StMed 0.014705882 0.138613861 0.053380783 0.029810298 0.116751269 . #> SMMR . 0.029702970 . 0.002710027 0.010152284 . #> StMod . . . 0.004516712 0.020304569 . #> StNee . 0.009900990 0.010676157 0.002710027 . . #> StPap . . 0.014234875 0.007226739 . . #> SPL 0.014705882 0.029702970 0.053380783 0.069557362 0.005076142 0.09876543 #> StSci 0.049019608 0.024752475 0.032028470 0.010840108 0.025380711 0.06172840 #> StSin 0.044117647 0.029702970 0.017793594 0.044263776 0.020304569 0.06172840 #> Tech 0.004901961 0.004950495 0.017793594 0.031616983 0.025380711 . #> Test 0.024509804 . 0.021352313 0.019873532 0.010152284 . #> #> Mtka . 0.000000000 ...... #> SJS 0.100000000 0.027586207 ...... #> StataJ . . ...... #> StCmp . . ...... #> Stats . . ...... #> StMed 0.088235294 0.013793103 ...... #> SMMR . . ...... #> StMod . . ...... #> StNee 0.005882353 0.013793103 ...... #> StPap . 0.027586207 ...... #> SPL 0.005882353 0.082758621 ...... #> StSci 0.017647059 0.006896552 ...... #> StSin 0.052941176 0.034482759 ...... #> Tech 0.011764706 0.041379310 ...... #> Test . . ......