[R] Exporting aggregate summary
Laura Thomas
skagandbonegirl at hotmail.com
Tue Jan 28 16:58:09 CET 2014
Hi All,
I am trying to manipulate my data in R. I have used the following code [aggregate(latency~participant+condition+state, data=data, FUN=mean)] which produces a summary of the variable I am interested in. However, I need to export the crated variable into excel. Can anyone help with this problem?
Many thanks,
Laura
structure(list(condition = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L), latency = c(540L,
694L, 965L, 799L, 929L, 748L, 793L, 842L, 809L, 716L, 768L, 801L,
834L, 681L, 880L, 962L, 641L, 808L, 679L, 979L, 813L, 851L, 704L,
805L, 676L, 778L, 651L, 640L, 807L, 782L, 743L, 875L, 1183L,
865L, 863L, 1007L, 1002L, 867L, 736L, 835L, 738L, 589L, 903L,
610L, 751L, 608L, 840L, 1001L, 1027L, 618L, 963L, 749L, 993L,
907L, 711L, 746L, 781L, 621L, 1093L, 617L, 995L, 813L, 490L,
775L, 519L, 964L, 911L, 844L, 618L, 673L, 742L, 745L, 1103L,
999L, 574L, 523L, 839L, 677L, 714L, 750L, 768L, 673L, 742L, 552L,
425L, 399L, 703L, 674L, 840L, 711L, 586L, 706L, 662L, 781L, 621L,
805L, 870L, 707L, 710L, 746L, 781L, 847L, 556L, 973L, 678L, 683L,
865L, 702L, 835L, 705L, 429L, 619L, 738L, 934L, 640L, 937L, 998L,
718L, 738L, 708L, 615L, 848L, 750L, 672L, 774L, 646L, 749L, 799L,
617L, 607L, 646L, 890L, 833L, 703L, 836L, 803L, 513L, 464L, 750L,
865L, 525L, 454L, 643L, 621L, 579L, 684L, 575L, 680L, 491L, 550L,
542L, 584L, 451L, 769L, 609L, 842L, 680L, 405L, 450L, 574L, 550L,
575L, 518L, 511L, 717L, 750L, 800L, 801L, 487L, 675L, 907L, 518L,
608L, 1002L, 747L, 459L, 842L, 648L, 460L, 584L, 326L, 487L,
707L, 711L, 693L, 1026L, 842L, 680L, 532L, 1186L, 739L, 1033L,
606L, 768L, 518L, 511L, 586L, 480L, 781L, 411L, 494L, 624L, 654L,
675L, 813L, 620L, 481L, 552L, 673L, 355L, 483L, 514L, 685L, 738L,
321L, 675L, 518L, 608L, 551L, 543L, 648L, 573L, 774L, 776L, 422L,
418L, 641L, 463L, 587L, 1062L, 872L, 580L, 562L, 748L, 811L,
489L, 580L, 491L, 614L, 802L, 705L, 644L, 553L, 580L, 523L, 903L,
481L, 557L, 484L, 930L, 685L, 415L, 621L, 611L, 479L, 490L, 742L,
680L, 814L, 1008L, 453L, 900L, 616L, 444L, 843L, 585L, 769L,
1126L, 616L, 670L, 869L, 512L, 586L, 610L, 1036L, 545L, 489L,
573L, 748L, 1024L, 420L, 1190L, 1065L, 895L, 715L, 492L, 1150L,
607L, 1031L, 653L, 996L, 716L, 477L, 616L, 444L, 520L, 771L,
482L, 605L, 869L, 738L, 869L, 770L, 997L, 684L, 1188L, 740L,
1161L, 1101L, 514L, 942L, 616L, 863L, 619L, 1003L, 1095L, 708L,
905L, 1030L, 754L, 509L, 978L, 457L, 750L, 478L, 734L, 865L,
879L, 900L, 542L, 808L, 719L, 963L, 748L, 702L, 519L, 383L, 703L,
577L, 713L, 582L, 709L, 970L, 480L, 426L, 680L, 458L, 743L, 520L,
577L, 497L, 459L, 1067L, 638L, 805L, 579L, 715L, 443L, 681L,
878L, 618L, 607L, 904L, 384L, 520L, 706L, 613L, 458L, 678L, 682L,
1173L, 419L, 415L, 443L, 874L, 613L, 620L, 383L, 509L, 648L,
1177L, 1004L, 739L, 1128L, 553L, 513L, 587L, 932L, 1185L, 581L,
875L, 831L, 589L, 547L, 652L, 834L, 929L, 1167L, 865L, 1137L,
417L, 929L, 653L, 1125L, 1021L, 707L, 581L, 491L, 827L, 1157L,
1065L, 1199L, 1153L, 771L, 933L, 928L, 973L, 902L, 867L, 896L,
523L, 451L, 446L, 500L, 487L, 546L, 393L, 1099L, 1057L, 1065L,
1024L, 1033L, 831L, 918L, 382L, 862L, 812L, 909L, 905L, 1063L,
877L, 1004L, 1158L, 1003L, 996L, 1199L, 1089L, 902L, 996L, 941L,
872L, 909L, 873L, 1128L, 940L, 1129L, 1006L, 870L, 997L, 920L,
997L, 1007L, 1097L, 942L, 863L, 845L, 811L, 841L, 968L, 930L,
831L, 1023L, 835L, 1027L, 1085L, 1188L, 1127L, 971L, 1062L, 920L,
932L, 895L, 1133L, 1058L, 840L, 1193L, 390L, 1097L, 716L, 864L,
1040L, 838L, 942L, 781L, 1040L, 774L, 742L, 1196L, 1070L, 487L,
746L, 748L, 604L, 868L, 769L, 1027L, 423L, 871L, 739L, 825L,
357L, 817L, 735L, 871L, 804L, 768L, 752L, 383L, 1153L, 771L,
771L, 930L, 510L, 776L, 873L, 871L, 772L, 901L, 769L, 1034L,
478L, 585L, 704L, 611L, 875L, 1001L, 768L, 453L, 810L, 809L,
422L, 450L, 767L, 832L, 992L, 744L, 1084L, 696L, 787L, 1097L,
733L, 914L, 893L, 937L, 715L, 669L, 690L, 862L, 995L, 843L, 801L,
1048L, 654L, 723L, 637L, 1083L, 879L, 860L, 841L, 599L, 942L,
1047L, 557L, 502L, 425L, 504L, 811L, 554L, 651L, 728L, 603L,
586L, 545L, 939L, 701L, 800L, 591L, 631L, 926L, 560L, 572L, 1125L,
607L, 366L, 430L, 797L, 341L, 766L, 711L, 658L, 527L, 625L, 696L,
939L, 629L, 916L, 462L, 523L, 502L, 633L, 454L, 603L, 450L, 672L,
516L, 502L, 481L, 822L, 700L, 1175L, 752L, 649L, 759L, 664L,
701L, 592L, 624L, 574L, 583L, 559L, 448L, 437L, 707L, 926L, 593L,
768L, 473L, 621L, 419L, 474L, 710L, 569L, 682L, 646L, 931L, 694L,
754L, 795L, 1043L, 688L, 788L, 820L, 707L, 414L, 461L, 402L,
705L, 852L, 785L, 673L, 437L, 723L, 669L, 650L, 463L, 388L, 579L,
884L, 712L, 571L, 691L, 695L, 947L, 509L, 656L, 797L, 636L, 658L,
662L, 747L, 780L, 725L, 1047L, 613L, 661L, 994L, 809L, 457L,
902L, 1113L, 732L, 766L, 870L, 531L, 893L, 929L, 1012L, 499L,
758L, 623L, 548L, 606L, 557L, 654L, 571L, 563L, 597L, 612L, 531L,
950L, 583L, 959L, 800L, 431L, 429L, 404L, 651L, 904L, 723L, 397L,
381L, 645L, 707L, 702L, 625L, 808L, 311L, 746L, 988L, 435L, 649L,
694L, 450L, 719L, 433L, 999L, 982L, 358L, 634L, 856L, 773L, 709L,
561L, 786L, 585L, 769L, 770L, 954L, 947L, 389L, 733L, 631L, 1149L,
750L, 327L, 634L, 512L, 499L, 685L, 625L, 736L, 458L, 1006L,
886L, 778L, 810L, 825L, 840L, 894L, 426L, 520L, 730L, 669L, 369L,
585L, 713L, 1068L, 769L, 714L, 573L, 461L, 818L, 433L, 774L,
671L, 491L, 743L, 401L, 359L, 344L, 706L, 701L, 344L, 882L, 574L,
630L, 589L, 612L, 539L, 565L, 813L, 517L, 983L, 991L, 415L, 510L,
809L, 536L, 417L, 672L, 938L, 364L, 637L, 923L, 365L, 918L, 848L,
1029L, 820L, 571L, 403L, 674L, 694L, 777L, 594L, 698L, 389L,
541L, 487L, 618L, 825L, 863L, 548L, 686L, 497L, 493L, 641L, 606L,
397L, 517L, 479L, 572L, 476L, 504L, 860L, 625L, 423L, 781L, 557L,
430L, 453L, 370L, 650L, 615L, 365L, 462L, 758L, 983L, 655L, 716L,
591L, 1119L, 993L, 593L, 1017L, 575L, 688L, 885L, 777L, 810L,
577L, 609L, 568L, 489L, 476L, 545L, 546L, 452L, 753L, 402L, 689L,
557L, 606L, 557L, 654L, 603L, 554L, 707L, 678L, 499L, 550L, 471L,
435L, 633L, 583L, 702L, 441L, 575L, 431L, 614L, 461L, 650L, 495L,
491L, 582L, 590L, 574L, 646L, 652L, 921L, 403L, 338L, 356L, 749L,
398L, 606L, 485L, 424L, 726L, 561L, 642L, 768L, 472L, 612L, 515L,
526L, 520L, 507L, 662L, 579L, 539L, 533L, 574L, 639L, 996L, 516L,
678L, 627L, 769L, 617L, 800L, 607L, 598L, 534L, 423L, 486L, 433L,
447L, 477L, 577L, 433L, 559L, 432L, 582L, 461L, 386L, 754L, 523L,
846L, 603L, 507L, 598L, 453L, 586L, 442L, 440L, 421L, 772L, 684L,
488L, 619L, 602L, 489L, 437L, 514L, 645L, 635L, 489L, 524L, 631L,
445L, 603L, 458L, 551L, 624L, 502L, 482L, 406L, 453L, 450L, 439L,
516L, 855L, 620L, 474L, 758L, 576L, 544L, 482L, 541L, 495L, 507L,
518L, 496L, 508L, 487L, 995L, 475L, 463L, 548L, 633L, 954L, 523L,
469L, 482L, 573L, 486L, 409L, 576L, 537L, 538L, 404L, 499L, 478L,
474L, 543L, 544L, 474L, 639L, 692L, 496L, 436L, 513L, 660L, 505L,
661L, 594L, 577L, 490L, 509L, 488L, 500L, 647L, 477L, 529L, 380L,
532L, 502L, 585L, 552L, 473L, 814L, 509L, 456L, 341L, 478L, 467L,
495L, 435L, 568L, 361L, 474L, 558L, 447L, 477L, 481L, 669L, 786L,
490L, 517L, 776L, 361L, 377L, 553L, 410L, 369L, 594L, 561L, 362L,
587L, 395L, 531L, 421L, 491L, 687L, 541L, 509L, 584L, 439L, 557L,
1086L, 1083L, 591L, 535L, 456L, 437L, 587L, 523L, 589L, 437L,
755L, 588L, 531L, 718L, 472L, 573L, 549L, 414L, 661L, 490L, 462L,
491L, 502L, 609L, 440L, 486L, 490L, 501L, 504L, 419L, 490L, 589L,
469L, 529L, 500L, 535L, 409L, 503L, 586L, 506L, 413L, 516L, 639L,
460L, 481L, 534L, 415L, 494L, 577L, 474L, 422L, 532L, 414L, 685L,
497L, 500L, 367L, 552L, 401L, 408L, 527L, 537L, 1091L, 567L,
799L, 638L, 636L, 810L, 385L, 385L, 384L, 528L, 418L, 400L, 871L,
556L, 533L, 495L, 450L, 527L, 738L), participant = c(1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
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4L)), .Names = c("condition", "latency", "participant"), row.names = c(2L,
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2675L, 2676L, 2677L, 2678L, 2679L, 2680L, 2681L, 2682L, 2683L,
2684L, 2685L, 2686L, 2687L, 2688L, 2689L, 2690L, 2691L, 2692L,
2693L, 2694L, 2695L, 2696L, 2697L, 2698L, 2699L, 2700L, 2701L,
2702L, 2703L, 2704L, 2705L, 2706L, 2707L, 2708L, 2709L, 2710L,
2711L, 2712L, 2713L, 2714L, 2715L, 2716L, 2717L, 2718L, 2719L,
2720L), class = "data.frame")
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