any one 1Rnwb wrote: > > I am trying to do ttest for each plate which has equal number of disease > and controls. by searching this forum I found one posting suggesting OP to > use "by(eo,PlateID, function(.sub) t.test(IL1Ra~Group,data=.sub))". when i > modified this for my use I used to get the pvalues for each plate, > recently upgraded to R2.9.x and now i am getting following error when i > use this > > by(eo,PlateID, function(.sub) t.test(IL1Ra~Group,data=.sub)) > Error in t.test.formula(IL1Ra ~ Group, data = .sub) : > grouping factor must have exactly 2 levels > > I checked my data file and the plate ID has "P16-P47" and the disease > column is "Y/N". I have search all but could not locate the answer. Can > anyone suggest me the direction where i am going wrong. > for more detail i amm posting a part of my data. > > SampleID PlateID Sex Disease Duration Age prt1 prt2 > prt3 prt4 > 1 P16 F N 25.33282811 836.08979 > 20.04582692 295.74 11731.43 > 2 P16 F N 32.74912883 243.0652116 > 53.16487056 383.63 4451.36 > 3 P16 M N 3.49961999 181.5587298 > 23.24604762 522.52 325.52 > 4 P16 M N 5.249771666 261.0978097 > 19.69024684 833.61 2229.04 > 5 P16 M N 39.16612385 237.334794 > 83.97284692 694.03 1204.36 > 6 P16 F N 33.49929145 540.486536 > 29.69569346 895.36 72105.75 > 7 P16 F N 3.915997361 5215.378446 > 35.44324704 1023.63 101680.69 > 8 P16 F N 33.49929145 466.5188732 > 12.93422535 814.26 7169.61 > 9 P16 F N 38.1661348 706.5117791 > 19.69024684 331.62 7296.72 > 10 P16 M N 0.916030215 242.3011559 > 36.40117263 90.1 35962.08 > 11 P16 F Y 14975.25 42.08281552 133.8052501 > 29.0570764 260.55 1280.29 > 12 P16 M Y 1095.75 40.41593932 247.6495456 > 19.69024684 161.64 6685.6 > 13 P16 F Y 2922 25.08300169 231.6043765 > 9.022844487 902.53 37571.39 > 14 P16 F Y 12053.25 37.49924765 158.6370595 > 24.90606549 1.63 471.15 > 15 P16 F Y 14610 76.58209602 278.3837309 > 41.51010914 152.13 16285.49 > 16 P16 F Y 3287.25 49.58239171 128.4568603 > 17.91234645 274.99 41823.21 > 17 P17 M N 2.333079994 397.4440508 > 55.20987654 366.37 90011.27 > 18 P17 F N 4.749435461 222.0839813 > 73.62489675 271.65 903.89 > 19 P17 F N 1.749468315 676.8904636 > 47.7037037 721.19 663.15 > 20 P17 M N 33.24946503 413.712486 > 27.42386831 611.64 4195.86 > 21 P17 F N 15.4162131 346.9913086 > 30.71604938 302.29 2151.47 > 22 P17 F N 33.3327405 2598.071161 > 107.8088094 1800.44 102005.12 > 23 P17 M N 9.832656179 3296.535581 > 54.1563786 2642.73 676.78 > 24 P17 F N 3.749446413 488.2589867 > 15.29151952 562.88 11619.62 > 25 P17 M N 9.749380705 159.1536586 > 23.41690259 132.64 931.14 > 26 P17 M Y 12053.25 50.91548265 173.7764722 > 18.90280088 52.25 15962.05 > 27 P17 M Y 3652.5 25.83248096 264.8254141 > 35.32510288 497.33 15504.95 > 28 P17 F Y 28.41607073 415.3599225 > 35.0617284 1600.67 14224.39 > 29 P17 F Y 6209.25 60.74882219 213.7280879 > 44.41152263 111.36 9018.48 > 30 P17 M Y 4748.25 47.33258719 264.0016959 > 31.24279835 366.81 3809.83 > 31 P17 M Y 16071 54.49906148 112.4128794 > 34.40329218 114.56 1727.02 > 32 P17 M Y 7670.25 52.33253243 145.5753317 > 32.2962963 44.92 15264.84 > 33 P17 M Y 8766 31.74913978 220.2561296 > 34.40329218 130.31 2377.36 > 34 P17 F Y 8400.75 40.83231669 194.6662059 > 48.09876543 407.83 19587.61 > 35 P17 M Y 12053.25 36.1661567 212.1613578 > 96.51775947 621.42 3269.9 > 36 P17 M Y 8035.5 57.91540599 115.2852178 > 24.79012346 282.88 8960.27 > 37 P17 M Y 5478.75 36.33270765 160.4592669 > 40.72427984 102.32 5006.77 > 38 P17 F Y 9496.5 34.74910692 329.8991551 > 40.32921811 417.32 248857.58 > 39 P18 F N 14.2496731 538.5430144 > 54.34303351 396 4432.94 > 40 P18 M N 11.83263428 236.8218238 > 48.37595532 148.94 1414.11 > 41 P18 M N 7.582851659 322.2342976 > 87.83185053 280.84 16294.98 > 42 P18 F N 8.83266713 288.4507237 > 30.47472075 256.38 348.03 > 43 P18 M N 43.58245741 297.1312253 > 3.276042927 368.22 3627.89 > 44 P18 F N 45.49916004 297.1312253 > 160.4104035 635.12 1325.33 > 45 P18 M N 10.83264523 179.2726374 > 39.85155791 64.24 763.59 > 46 P18 M N 18.5827312 3389.23762 > 71.66394523 1105.37 45291.49 > 47 P18 F N 7.416300711 1345.377837 > 29.62228101 1195.82 19241.32 > 48 P18 M Y 4383 19.16634287 137.1490061 > 20.22826506 157.45 4026.95 > 49 P18 M Y 4748.25 19.0830674 226.7358839 > 93.61453199 507.45 1274.6 > 50 P18 M Y 4748.25 19.0830674 285.870034 > 60.87840486 330.91 586.98 > 51 P18 M Y 3652.5 12.33297048 195.6870101 > 39.56741133 48.1 16561.4 > 52 P18 F Y 4017.75 11.24970596 145.4550742 > 42.55095042 20.56 732.42 > 53 P18 F Y 1461 3.999956195 385.813107 > 63.1515775 204.62 2347.46 > 54 P18 M Y 4748.25 16.08310025 117.965944 > 58.03693906 78.33 2709.32 > 55 P18 M Y 1826.25 13.99984668 175.9106574 > 67.41377621 65.53 2069.11 > 56 P18 M Y 730.5 14.9158769 89.68575957 > 27.91740153 22.62 389.59 > 57 P18 F Y 6209.25 17.4161912 191.9295031 > 32.60582011 127.63 20291.34 > 58 P18 F Y 365.25 5.249771666 121.723451 > 61.7308446 49.39 11463.27 > 59 P18 F Y 4748.25 18.33290477 179.0748739 > 53.20644719 46.16 111361.43 > 60 P18 M Y 1826.25 6.083209766 330.6801911 > 27.06496179 489.04 12258.96 > 61 P18 F Y 3287.25 17.58274215 182.8323809 > 29.48020772 115.1 15324.67 > 62 P18 F Y 3652.5 44.16606909 248.4898719 > 87.24178099 139.33 16443.86 > 63 P19 M N 37.99958385 2197.263844 > 86.43305867 1492.06 3547.88 > 64 P19 F N 37.58252312 4588.403833 > 152.9115464 1722.46 9243.22 > 65 P19 F N 34.91565787 316.0623502 > 17.19804354 1582.79 12217.62 > 66 P19 F N 42.74901931 213.1054131 > 32.99689553 212.94 2714.66 > 67 P19 F N 10.08316596 4715.658374 > 50.91906722 1543.61 2490.68 > 68 P19 F N 43.33263099 2.258320699 > 0.524578302 561.12 5985.07 > 69 P19 F Y 365.25 8.999901438 208.5132426 > 32.8293986 45.72 2051.68 > 70 P19 M Y 4748.25 12.83262333 0 0 192.51 > 1255.58 > 71 P19 M Y 1461 16.83257952 218.2716049 > 65.82629413 255.01 4486.39 > 72 P19 M Y 5844 17.4161912 102.60631 > 27.80449065 49.77 622.01 > 73 P19 M Y 4748.25 18.33290477 182.9692941 > 9.965221488 159.66 2392.13 > 74 P19 F Y 730.5 17.24964025 100.8842461 > 27.97198758 157.25 176209.9 > 75 P19 M Y 4383 16.41620215 0.098187856 0 > 171.67 65286.23 > 76 P19 M Y 1461 6.16648524 962.1232959 > 112.1204345 81.67 870.82 > > > >
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