Thanks Pikal - I'd like to actually get the names of the variables for those indices both above and below .3/-.3 with the intention of generating a grid of scatterplots (which I will use ggplot2 for).
I played around with your code but can't seem to get the indice names. Best, Edward On Fri, Oct 3, 2014 at 2:59 AM, PIKAL Petr <petr.pi...@precheza.cz> wrote: > Hi > > maybe > > which(abs(data)>0.3, arr.ind=T) > row col > Loss_EV_Amygdala_SF_left_hemisphere 15 2 > Loss_EV_Amygdala_SF_left_hemisphere 15 3 > Loss_PE_Amygdala_SF_right_hemisphere 5 7 > Loss_PE_Amygdala_SF_left_hemisphere 13 9 > > Gives you what you want. > > > sel<-which(abs(data)>0.3, arr.ind=T) > > data[sel] > [1] 0.3268234 0.3451718 0.3116239 0.3316836 > > Regards. > Petr > > > -----Original Message----- > > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > > project.org] On Behalf Of Patzelt, Edward > > Sent: Thursday, October 02, 2014 10:18 PM > > To: R-help@r-project.org > > Subject: [R] Identifying Values in Dataframe > > > > R Help - > > > > I'd like to identify each correlation value in the dataframe below > > above/below .3/-.3 in order to graph the original data points. I've > > started > > with the call below to identify each value by it's row and column. I'd > > like > > to form a data object that identifies each set of variables that meet > > the > > criteria and then use that to graph the original data. > > > > *do.call(cbind, lapply(list(row = row(data, T), col = col(data, T), > > value = > > data), as.character))* > > structure(c(-0.0228976615669603, 0.0228976615669603, > > 0.0345568787488209, > > -0.0345568787488209, 0.0704941162950863, 0.0501672252097525, > > 0.119766411337358, 0.0697823742392512, 0.0223273454311378, > > -0.0223273454311378, > > 0.125952482472234, -0.125952482472234, -0.0748856339421511, > > -0.0353553864437216, > > 0.199331873910442, -0.068756564596986, 0.0188033303819659, > > -0.0188033303819659, > > 0.124483870344689, -0.124483870344689, 0.158304442010968, > > -0.158304442010968, > > -0.00291892981576431, 0.00291892981576431, 0.289784855159971, > > 0.197017018634618, 0.0725645607308865, 0.0960039687045857, > > 0.145044311433109, > > -0.145044311433109, 0.228975321916426, -0.228975321916426, > > 0.26388395000877, > > 0.175954114053622, 0.326823414986536, 0.0464304517962428, > > 0.171060413427109, > > -0.171060413427109, 0.125608489395663, -0.125608489395663, > > 0.170699125959079, > > -0.170699125959079, -0.0537588992684595, 0.0537588992684595, > > 0.237938136557008, 0.130101348701669, 0.0420659299644508, > > 0.140016889896702, > > 0.175781963301805, -0.175781963301805, 0.277913325677977, > > -0.277913325677977, > > 0.250436246834054, 0.149310941080417, 0.345171759606147, > > 0.0499822279379925, > > 0.180291553611261, -0.180291553611261, 0.0983047617452837, > > -0.0983047617452837, > > 0.0908629320478729, -0.0908629320478729, 0.0162624158794471, > > -0.0162624158794471, 0.219099271324641, 0.143898328556892, > > 0.0808498509449568, > > 0.0534039458771934, 0.103639895676339, -0.103639895676339, > > 0.224298317217259, > > -0.224298317217259, 0.13939241528796, 0.0923125296440915, > > 0.2952647762031, > > -0.0573156158960486, 0.126972946909388, -0.126972946909388, > > 0.145176640269481, > > -0.145176640269481, 0.176722440639515, -0.176722440639515, > > -0.110517827771672, > > 0.110517827771672, 0.265161677824653, 0.0349452421080511, > > -0.00586032680446085, > > 0.17140674405117, -0.0141919172668973, 0.0141919172668973, > > 0.0416754535115447, > > -0.0416754535115447, 0.110687511145091, 0.163199987771469, > > 0.174846924599677, > > 0.116657756754811, 0.184924363876472, -0.184924363876472, > > 0.0740138506321435, > > -0.0740138506321435, 0.0653341995281647, -0.0653341995281647, > > 0.101098966521841, -0.101098966521841, -0.0263969055123976, > > -0.129660641707532, > > 0.16313101271814, -0.0000382052406584783, 0.118309823316179, > > -0.118309823316179, 0.0408519777835592, -0.0408519777835592, > > -0.15406959482671, -0.274340973979869, 0.1465995621482, > > -0.0608360452726588, > > -0.00570057335076342, 0.00570057335076342, 0.0988132735291764, > > -0.0988132735291764, 0.159498629897594, -0.159498629897594, > > -0.0258437210789338, > > 0.0258437210789338, 0.311623918577701, 0.0959243386674064, > > 0.0373444291324758, > > 0.131601179184854, 0.0032064022008327, -0.0032064022008327, > > 0.0126042917937794, > > -0.0126042917937794, 0.0288999352531186, 0.0343919995425096, > > 0.0375647873892517, 0.0734866249695526, 0.125835994106989, > > -0.125835994106989, > > 0.0557071876372764, -0.0557071876372764, 0.0190687287223345, > > -0.0190687287223345, 0.0301326072710063, -0.0301326072710063, > > 0.0881640884608706, 0.0600194980037123, 0.0948090975231923, > > 0.0259282757599189, > > 0.120417132810781, -0.120417132810781, 0.196695581235906, > > -0.196695581235906, > > 0.166210300278382, 0.0252645245285897, 0.239953962041662, > > -0.013933692494363, > > 0.0174600644363753, -0.0174600644363753, 0.169008089964054, > > -0.169008089964054, > > 0.0503612778194372, -0.0503612778194372, 0.175816302924921, > > -0.175816302924921, > > 0.141434785651191, 0.0824019401386654, 0.173429908437586, > > -0.136795834367563, > > 0.219543981806626, -0.219543981806626, 0.290697487363267, > > -0.290697487363267, > > 0.331683649439792, -0.0035319780591347, 0.237371764540467, > > -0.172828690804139, > > 0.00922163769628213, -0.00922163769628213, 0.275507919516733, > > -0.275507919516733, 0.128267529853407, -0.128267529853407, > > -0.16619622911667, > > 0.16619622911667, 0.102467428865746, -0.115779804556684, > > 0.000997318666924614, > > 0.297139396802529, 0.040957786791642, -0.040957786791642, > > -0.0160650315621922, > > 0.0160650315621922, -0.043765426943726, -0.0637020898937285, > > 0.142863591010818, 0.214059283535989, 0.13975223034564, - > > 0.13975223034564, > > -0.0286586386843802, 0.0286586386843802, 0.13735028629468, > > -0.13735028629468, > > -0.147016933653806, 0.147016933653806, 0.174438743129307, > > -0.0116564727226121, > > -0.0413775943824046, 0.136551598575573, 0.0614942508131549, > > -0.0614942508131549, > > 0.0687487372508148, -0.0687487372508148, -0.0352587211103196, > > -0.0872464182568976, 0.162247767446472, 0.0282617081917608, > > 0.175608445537029, > > -0.175608445537029, -0.0339260764991994, 0.0339260764991994, > > 0.130002432167221, -0.130002432167221, -0.141752408742242, > > 0.141752408742242, > > 0.126603115520512, -0.0784556105378803, -0.0736773348350251, > > 0.154815164010555, -0.102200077602115, 0.102200077602115, > > -0.137144378194025, > > 0.137144378194025, 0.0132012835622079, 0.113105077279414, > > -0.0412435172396771, > > 0.182836991911806, 0.109656132908221, -0.109656132908221, > > -0.0341578533716874, > > 0.0341578533716874, -0.0155952702450936, 0.0155952702450936, > > 0.0962494517693934, -0.0962494517693934, 0.0745517006304259, > > 0.145954619132309, 0.0997683764233029, -0.0562240100001912, > > 0.13254524166143, > > -0.13254524166143, 0.236418162977751, -0.236418162977751, > > 0.0878486801199713, > > -0.00445794916320147, 0.227619583487885, -0.14911359391431, > > 0.0214260010937822, > > -0.0214260010937822, 0.120246543167583, -0.120246543167583), .Dim = > > c(20L, > > 13L), .Dimnames = list(c("Loss_Gain_PE_Amygdala_SF_right_hemisphere", > > "Gain_Loss_PE_Amygdala_SF_right_hemisphere", > > "Loss_Gain_EV_Amygdala_SF_right_hemisphere", > > "Gain_Loss_EV_Amygdala_SF_right_hemisphere", > > "Loss_PE_Amygdala_SF_right_hemisphere", > > "Gain_PE_Amygdala_SF_right_hemisphere", > > "Loss_EV_Amygdala_SF_right_hemisphere", > > "Gain_EV_Amygdala_SF_right_hemisphere", > > "Loss_Gain_PE_Amygdala_SF_left_hemisphere", > > "Gain_Loss_PE_Amygdala_SF_left_hemisphere", > > "Loss_Gain_EV_Amygdala_SF_left_hemisphere", > > "Gain_Loss_EV_Amygdala_SF_left_hemisphere", > > "Loss_PE_Amygdala_SF_left_hemisphere", > > "Gain_PE_Amygdala_SF_left_hemisphere", > > "Loss_EV_Amygdala_SF_left_hemisphere", > > "Gain_EV_Amygdala_SF_left_hemisphere", > > "Loss_Gain_PE_Amygdala_LB_right_hemisphere", > > "Gain_Loss_PE_Amygdala_LB_right_hemisphere", > > "Loss_Gain_EV_Amygdala_LB_right_hemisphere", > > "Gain_Loss_EV_Amygdala_LB_right_hemisphere"), c("hare2f1", "hare2f2", > > "hare4", "hare", "ext_t", "total_barrat_11_imputed", "mcq_k", > > "ppitots", "ppi_1_corrected", "ppi_2_corrected", "total_buss_perry", > > "hareResidNetExt", "extResidNetHare"))) > > > > -- > > > > *Edward H Patzelt | Clinical Science PhD StudentPsychology | Harvard > > University SNPLab http://scholar.harvard.edu/buckholtz > > <http://scholar.harvard.edu/buckholtz>* > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/posting- > > guide.html > > and provide commented, minimal, self-contained, reproducible code. > > ________________________________ > Tento e-mail a jakékoliv k němu připojené dokumenty jsou důvěrné a jsou > určeny pouze jeho adresátům. > Jestliže jste obdržel(a) tento e-mail omylem, informujte laskavě > neprodleně jeho odesílatele. 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