I have two data frames which has 3 columns each.My first data frame is large like this below "new.col ppm.p. freq.p." "1_3_diaminopropane 3.13859 5.67516" "1_3_diaminopropane 3.137 6.65388" "1_3_diaminopropane 3.13541 8.0142" "1_3_diaminopropane 3.13383 9.64184" "1_3_diaminopropane 3.12075 298.243" "1_3_diaminopropane 3.1152 44.6212" "1_3_diaminopropane 3.10528 337.852" "1_3_diaminopropane 3.09617 44.1467" "1_3_diaminopropane 3.08943 308.2" "1_3_diaminopropane 3.0807 7.47272" "1_3_diaminopropane 3.07912 5.6996" "1_3_diaminopropane 2.10859 37.0658" "1_3_diaminopropane 2.09312 79.8969" "1_3_diaminopropane 2.08242 51.5292" "1_3_diaminopropane 2.07727 135.629" "1_3_diaminopropane 2.07251 47.5652" "1_3_diaminopropane 2.06497 49.6692" "1_3_diaminopropane 2.0618 72.4135" "1_3_diaminopropane 2.04634 32.1115" "1_3_diaminopropane 0.00655923 7.6155" "1_3_diaminopropane 0.00021588 103.234" "1_3_diaminopropane -0.00533455 7.32726" "1_3_dimethylurea 4.80643 88.4026" "1_3_dimethylurea 2.66393 39.238" "1_amino_1_phenylmethyl_phosphonic_acid 7.44687 7.1684" "1_amino_1_phenylmethyl_phosphonic_acid 4.81412 105.11" "2_3_diphospho_D_glyceric_acid 4.5186 18.3831" "2_3_diphospho_D_glyceric_acid 4.51622 21.4894" "2_3_diphospho_D_glyceric_acid 4.51028 44.1328" "2_3_diphospho_D_glyceric_acid 4.50076 35.5218" "2_3_diphospho_D_glyceric_acid 4.49799 25.3894" "2_3_diphospho_D_glyceric_acid 4.49164 44.5942" "2_3_diphospho_D_glyceric_acid 4.4853 22.1747" "2_3_diphospho_D_glyceric_acid 4.04999 17.279" "2_3_diphospho_D_glyceric_acid 4.04325 23.3606" "2_3_diphospho_D_glyceric_acid 4.04047 22.4084" "2_3_diphospho_D_glyceric_acid 4.03373 24.3897" "2_3_diphospho_D_glyceric_acid 4.02858 58.5852" "2_3_diphospho_D_glyceric_acid 4.02144 66.5612" "2_3_diphospho_D_glyceric_acid 4.01906 70.3493" "2_3_diphospho_D_glyceric_acid 4.01232 60.9695" "2_3_diphospho_D_glyceric_acid 4.00876 61.2461" "2_3_diphospho_D_glyceric_acid 3.99964 100.939" "2_3_diphospho_D_glyceric_acid 3.99052 57.8175" "2_3_diphospho_D_glyceric_acid 3.97823 36.9309" "2_3_diphospho_D_glyceric_acid 3.96911 17.9823" "2_3_diphospho_D_glyceric_acid 3.15121 92.128" "2_3_diphospho_D_glyceric_acid 3.14289 114.087" "2_3_diphospho_D_glyceric_acid 3.13813 121.311" "2_3_diphospho_D_glyceric_acid 3.12981 193.855" "2_3_diphospho_D_glyceric_acid 3.12148 159.122" "2_3_diphospho_D_glyceric_acid 3.108 92.3526" "2_3_diphospho_D_glyceric_acid 3.10007 55.6859" "2_3_diphospho_D_glyceric_acid 1.99395 300.192" "2_3_diphospho_D_glyceric_acid 1.97849 465.916" "2_3_diphospho_D_glyceric_acid 1.95787 30.7119" "2_3_diphospho_D_glyceric_acid 1.95311 34.917" "2_3_diphospho_D_glyceric_acid 1.82585 30.7865" "2_3_diphospho_D_glyceric_acid 1.80167 361.596" "2_3_diphospho_D_glyceric_acid 1.79572 410.836" "2_3_diphospho_D_glyceric_acid 1.78462 294.731" "2_3_diphospho_D_glyceric_acid 1.77788 274.143" "2_3_diphospho_D_glyceric_acid 1.6522 179.805" "2_3_diphospho_D_glyceric_acid 1.62604 191.929" "2_3_diphospho_D_glyceric_acid 1.38182 93.7426" "2_3_diphospho_D_glyceric_acid 1.36992 38.1639" "2_3_diphospho_D_glyceric_acid 1.35724 310.132" "2_3_diphospho_D_glyceric_acid 1.35208 290.138" "2_3_diphospho_D_glyceric_acid 1.33741 593.161" "2_3_diphospho_D_glyceric_acid 1.33107 662.735" "2_3_diphospho_D_glyceric_acid 1.32671 503.942" "2_3_diphospho_D_glyceric_acid 1.32076 616.226" "2_3_diphospho_D_glyceric_acid 1.30371 298.131" "2_3_diphospho_D_glyceric_acid 1.29737 211.264" "2_3_diphospho_D_glyceric_acid 1.27834 93.7896" "2_3_diphospho_D_glyceric_acid 1.27239 64.2389" "2_3_diphospho_D_glyceric_acid 1.22482 6.26529" "2_3_diphospho_D_glyceric_acid 1.21808 10.5804" "2_3_diphospho_D_glyceric_acid 1.20936 48.6332" "2_3_diphospho_D_glyceric_acid 1.20262 74.4761" "2_3_diphospho_D_glyceric_acid 1.19548 62.2725" "2_3_diphospho_D_glyceric_acid 1.18478 115.727" "2_3_diphospho_D_glyceric_acid 1.17764 140.963" "2_3_diphospho_D_glyceric_acid 1.1709 102.384" "2_3_diphospho_D_glyceric_acid 1.1598 115.19" "2_3_diphospho_D_glyceric_acid 1.15306 116.661" "2_3_diphospho_D_glyceric_acid 1.14513 64.8014" "2_3_diphospho_D_glyceric_acid 1.13681 45.9263" "2_3_diphospho_D_glyceric_acid 1.12848 35.0817" "2_3_diphospho_D_glyceric_acid 0.000156828 127.55" "2_amino_5_ethyl_1_3_4_thiadiazole 4.5186 18.3831" "2_amino_5_ethyl_1_3_4_thiadiazole 4.51622 21.4894" "2_amino_5_ethyl_1_3_4_thiadiazole 4.51028 44.1328" "2_amino_5_ethyl_1_3_4_thiadiazole 4.50076 35.5218" "2_amino_5_ethyl_1_3_4_thiadiazole 4.49799 25.3894" "2_amino_5_ethyl_1_3_4_thiadiazole 4.49164 44.5942" "2_amino_5_ethyl_1_3_4_thiadiazole 4.4853 22.1747" "2_amino_5_ethyl_1_3_4_thiadiazole 4.04999 17.279" "2_amino_5_ethyl_1_3_4_thiadiazole 4.04325 23.3606" "2_amino_5_ethyl_1_3_4_thiadiazole 4.04047 22.4084" "2_amino_5_ethyl_1_3_4_thiadiazole 4.03373 24.3897" "2_amino_5_ethyl_1_3_4_thiadiazole 4.02858 58.5852" "2_amino_5_ethyl_1_3_4_thiadiazole 4.02144 66.5612" "2_amino_5_ethyl_1_3_4_thiadiazole 4.01906 70.3493" "2_amino_5_ethyl_1_3_4_thiadiazole 4.01232 60.9695" "2_amino_5_ethyl_1_3_4_thiadiazole 4.00876 61.2461" "2_amino_5_ethyl_1_3_4_thiadiazole 3.99964 100.939" "2_amino_5_ethyl_1_3_4_thiadiazole 3.99052 57.8175" "2_amino_5_ethyl_1_3_4_thiadiazole 3.97823 36.9309" "2_amino_5_ethyl_1_3_4_thiadiazole 3.96911 17.9823" "2_amino_5_ethyl_1_3_4_thiadiazole 3.15121 92.128" "2_amino_5_ethyl_1_3_4_thiadiazole 3.14289 114.087" "2_amino_5_ethyl_1_3_4_thiadiazole 3.13813 121.311" "2_amino_5_ethyl_1_3_4_thiadiazole 3.12981 193.855" "2_amino_5_ethyl_1_3_4_thiadiazole 3.12148 159.122" "2_amino_5_ethyl_1_3_4_thiadiazole 3.108 92.3526" "2_amino_5_ethyl_1_3_4_thiadiazole 3.10007 55.6859" "2_amino_5_ethyl_1_3_4_thiadiazole 1.99395 300.192" "2_amino_5_ethyl_1_3_4_thiadiazole 1.97849 465.916" "2_amino_5_ethyl_1_3_4_thiadiazole 1.95787 30.7119" "2_amino_5_ethyl_1_3_4_thiadiazole 1.95311 34.917" "2_amino_5_ethyl_1_3_4_thiadiazole 1.82585 30.7865" "2_amino_5_ethyl_1_3_4_thiadiazole 1.80167 361.596" "2_amino_5_ethyl_1_3_4_thiadiazole 1.79572 410.836" "2_amino_5_ethyl_1_3_4_thiadiazole 1.78462 294.731" "2_amino_5_ethyl_1_3_4_thiadiazole 1.77788 274.143" "2_amino_5_ethyl_1_3_4_thiadiazole 1.6522 179.805" "2_amino_5_ethyl_1_3_4_thiadiazole 1.62604 191.929" "2_amino_5_ethyl_1_3_4_thiadiazole 1.38182 93.7426" "2_amino_5_ethyl_1_3_4_thiadiazole 1.36992 38.1639" "2_amino_5_ethyl_1_3_4_thiadiazole 1.35724 310.132" "2_amino_5_ethyl_1_3_4_thiadiazole 1.35208 290.138" "2_amino_5_ethyl_1_3_4_thiadiazole 1.33741 593.161" "2_amino_5_ethyl_1_3_4_thiadiazole 1.33107 662.735" "2_amino_5_ethyl_1_3_4_thiadiazole 1.32671 503.942" "2_amino_5_ethyl_1_3_4_thiadiazole 1.32076 616.226" "2_amino_5_ethyl_1_3_4_thiadiazole 1.30371 298.131" "2_amino_5_ethyl_1_3_4_thiadiazole 1.29737 211.264" "2_amino_5_ethyl_1_3_4_thiadiazole 1.27834 93.7896" "2_amino_5_ethyl_1_3_4_thiadiazole 1.27239 64.2389" "2_amino_5_ethyl_1_3_4_thiadiazole 1.22482 6.26529" "2_amino_5_ethyl_1_3_4_thiadiazole 1.21808 10.5804" "2_amino_5_ethyl_1_3_4_thiadiazole 1.20936 48.6332" "2_amino_5_ethyl_1_3_4_thiadiazole 1.20262 74.4761" "2_amino_5_ethyl_1_3_4_thiadiazole 1.19548 62.2725" "2_amino_5_ethyl_1_3_4_thiadiazole 1.18478 115.727" "2_amino_5_ethyl_1_3_4_thiadiazole 1.17764 140.963" "2_amino_5_ethyl_1_3_4_thiadiazole 1.1709 102.384" "2_amino_5_ethyl_1_3_4_thiadiazole 1.1598 115.19" "2_amino_5_ethyl_1_3_4_thiadiazole 1.15306 116.661" "2_amino_5_ethyl_1_3_4_thiadiazole 1.14513 64.8014" "2_amino_5_ethyl_1_3_4_thiadiazole 1.13681 45.9263" "2_amino_5_ethyl_1_3_4_thiadiazole 1.12848 35.0817" "2_amino_5_ethyl_1_3_4_thiadiazole 0.000156828 127.55" And my second dataframe is like query which has limited rows "new.col ppm.p. freq.p." "unknown" 7.44687 7.1684 "unknown" 4.81412 105.11 I want to compare the second and third columns of both dataframe and see whether there are any identical values in them. My expected answer is that the second dataframe is similar to values of 1_amino_1_phenylmethyl_phosphonic_acidpeak in data frame 1. -- View this message in context: http://r.789695.n4.nabble.com/finding-duplicates-in-a-data-frame-tp4633231.html Sent from the R help mailing list archive at Nabble.com.
Hello,
Try
merge(df1, df2, by.x=c("ppm.p.", "freq.p."),
by.y=c("ppm.p.", "freq.p."))
ppm.p. freq.p. new.col.x new.col.y
1 4.81412 105.1100 1_amino_1_phenylmethyl_phosphonic_acid unknown
2 7.44687 7.1684 1_amino_1_phenylmethyl_phosphonic_acid unknown
where 'df1' and 'df2' are your first and second data.frames.
Hope this helps,
Rui Barradas
Em 13-06-2012 11:16, sathya7priya escreveu:> I have two data frames which has 3 columns each.My first data frame is
large
> like this below
> "new.col ppm.p. freq.p."
> "1_3_diaminopropane 3.13859 5.67516"
> "1_3_diaminopropane 3.137 6.65388"
> "1_3_diaminopropane 3.13541 8.0142"
> "1_3_diaminopropane 3.13383 9.64184"
> "1_3_diaminopropane 3.12075 298.243"
> "1_3_diaminopropane 3.1152 44.6212"
> "1_3_diaminopropane 3.10528 337.852"
> "1_3_diaminopropane 3.09617 44.1467"
> "1_3_diaminopropane 3.08943 308.2"
> "1_3_diaminopropane 3.0807 7.47272"
> "1_3_diaminopropane 3.07912 5.6996"
> "1_3_diaminopropane 2.10859 37.0658"
> "1_3_diaminopropane 2.09312 79.8969"
> "1_3_diaminopropane 2.08242 51.5292"
> "1_3_diaminopropane 2.07727 135.629"
> "1_3_diaminopropane 2.07251 47.5652"
> "1_3_diaminopropane 2.06497 49.6692"
> "1_3_diaminopropane 2.0618 72.4135"
> "1_3_diaminopropane 2.04634 32.1115"
> "1_3_diaminopropane 0.00655923 7.6155"
> "1_3_diaminopropane 0.00021588 103.234"
> "1_3_diaminopropane -0.00533455 7.32726"
> "1_3_dimethylurea 4.80643 88.4026"
> "1_3_dimethylurea 2.66393 39.238"
> "1_amino_1_phenylmethyl_phosphonic_acid 7.44687 7.1684"
> "1_amino_1_phenylmethyl_phosphonic_acid 4.81412 105.11"
> "2_3_diphospho_D_glyceric_acid 4.5186 18.3831"
> "2_3_diphospho_D_glyceric_acid 4.51622 21.4894"
> "2_3_diphospho_D_glyceric_acid 4.51028 44.1328"
> "2_3_diphospho_D_glyceric_acid 4.50076 35.5218"
> "2_3_diphospho_D_glyceric_acid 4.49799 25.3894"
> "2_3_diphospho_D_glyceric_acid 4.49164 44.5942"
> "2_3_diphospho_D_glyceric_acid 4.4853 22.1747"
> "2_3_diphospho_D_glyceric_acid 4.04999 17.279"
> "2_3_diphospho_D_glyceric_acid 4.04325 23.3606"
> "2_3_diphospho_D_glyceric_acid 4.04047 22.4084"
> "2_3_diphospho_D_glyceric_acid 4.03373 24.3897"
> "2_3_diphospho_D_glyceric_acid 4.02858 58.5852"
> "2_3_diphospho_D_glyceric_acid 4.02144 66.5612"
> "2_3_diphospho_D_glyceric_acid 4.01906 70.3493"
> "2_3_diphospho_D_glyceric_acid 4.01232 60.9695"
> "2_3_diphospho_D_glyceric_acid 4.00876 61.2461"
> "2_3_diphospho_D_glyceric_acid 3.99964 100.939"
> "2_3_diphospho_D_glyceric_acid 3.99052 57.8175"
> "2_3_diphospho_D_glyceric_acid 3.97823 36.9309"
> "2_3_diphospho_D_glyceric_acid 3.96911 17.9823"
> "2_3_diphospho_D_glyceric_acid 3.15121 92.128"
> "2_3_diphospho_D_glyceric_acid 3.14289 114.087"
> "2_3_diphospho_D_glyceric_acid 3.13813 121.311"
> "2_3_diphospho_D_glyceric_acid 3.12981 193.855"
> "2_3_diphospho_D_glyceric_acid 3.12148 159.122"
> "2_3_diphospho_D_glyceric_acid 3.108 92.3526"
> "2_3_diphospho_D_glyceric_acid 3.10007 55.6859"
> "2_3_diphospho_D_glyceric_acid 1.99395 300.192"
> "2_3_diphospho_D_glyceric_acid 1.97849 465.916"
> "2_3_diphospho_D_glyceric_acid 1.95787 30.7119"
> "2_3_diphospho_D_glyceric_acid 1.95311 34.917"
> "2_3_diphospho_D_glyceric_acid 1.82585 30.7865"
> "2_3_diphospho_D_glyceric_acid 1.80167 361.596"
> "2_3_diphospho_D_glyceric_acid 1.79572 410.836"
> "2_3_diphospho_D_glyceric_acid 1.78462 294.731"
> "2_3_diphospho_D_glyceric_acid 1.77788 274.143"
> "2_3_diphospho_D_glyceric_acid 1.6522 179.805"
> "2_3_diphospho_D_glyceric_acid 1.62604 191.929"
> "2_3_diphospho_D_glyceric_acid 1.38182 93.7426"
> "2_3_diphospho_D_glyceric_acid 1.36992 38.1639"
> "2_3_diphospho_D_glyceric_acid 1.35724 310.132"
> "2_3_diphospho_D_glyceric_acid 1.35208 290.138"
> "2_3_diphospho_D_glyceric_acid 1.33741 593.161"
> "2_3_diphospho_D_glyceric_acid 1.33107 662.735"
> "2_3_diphospho_D_glyceric_acid 1.32671 503.942"
> "2_3_diphospho_D_glyceric_acid 1.32076 616.226"
> "2_3_diphospho_D_glyceric_acid 1.30371 298.131"
> "2_3_diphospho_D_glyceric_acid 1.29737 211.264"
> "2_3_diphospho_D_glyceric_acid 1.27834 93.7896"
> "2_3_diphospho_D_glyceric_acid 1.27239 64.2389"
> "2_3_diphospho_D_glyceric_acid 1.22482 6.26529"
> "2_3_diphospho_D_glyceric_acid 1.21808 10.5804"
> "2_3_diphospho_D_glyceric_acid 1.20936 48.6332"
> "2_3_diphospho_D_glyceric_acid 1.20262 74.4761"
> "2_3_diphospho_D_glyceric_acid 1.19548 62.2725"
> "2_3_diphospho_D_glyceric_acid 1.18478 115.727"
> "2_3_diphospho_D_glyceric_acid 1.17764 140.963"
> "2_3_diphospho_D_glyceric_acid 1.1709 102.384"
> "2_3_diphospho_D_glyceric_acid 1.1598 115.19"
> "2_3_diphospho_D_glyceric_acid 1.15306 116.661"
> "2_3_diphospho_D_glyceric_acid 1.14513 64.8014"
> "2_3_diphospho_D_glyceric_acid 1.13681 45.9263"
> "2_3_diphospho_D_glyceric_acid 1.12848 35.0817"
> "2_3_diphospho_D_glyceric_acid 0.000156828 127.55"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.5186 18.3831"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.51622 21.4894"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.51028 44.1328"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.50076 35.5218"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.49799 25.3894"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.49164 44.5942"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.4853 22.1747"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.04999 17.279"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.04325 23.3606"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.04047 22.4084"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.03373 24.3897"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.02858 58.5852"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.02144 66.5612"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.01906 70.3493"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.01232 60.9695"
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.00876 61.2461"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.99964 100.939"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.99052 57.8175"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.97823 36.9309"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.96911 17.9823"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.15121 92.128"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.14289 114.087"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.13813 121.311"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.12981 193.855"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.12148 159.122"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.108 92.3526"
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.10007 55.6859"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.99395 300.192"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.97849 465.916"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.95787 30.7119"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.95311 34.917"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.82585 30.7865"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.80167 361.596"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.79572 410.836"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.78462 294.731"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.77788 274.143"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.6522 179.805"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.62604 191.929"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.38182 93.7426"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.36992 38.1639"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.35724 310.132"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.35208 290.138"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.33741 593.161"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.33107 662.735"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.32671 503.942"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.32076 616.226"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.30371 298.131"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.29737 211.264"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.27834 93.7896"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.27239 64.2389"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.22482 6.26529"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.21808 10.5804"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.20936 48.6332"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.20262 74.4761"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.19548 62.2725"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.18478 115.727"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.17764 140.963"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.1709 102.384"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.1598 115.19"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.15306 116.661"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.14513 64.8014"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.13681 45.9263"
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.12848 35.0817"
> "2_amino_5_ethyl_1_3_4_thiadiazole 0.000156828 127.55"
>
>
> And my second dataframe is like query which has limited rows
> "new.col ppm.p. freq.p."
> "unknown" 7.44687 7.1684
> "unknown" 4.81412 105.11
> I want to compare the second and third columns of both dataframe and see
> whether there are any identical values in them.
> My expected answer is that the second dataframe is similar to values of
> 1_amino_1_phenylmethyl_phosphonic_acidpeak in data frame 1.
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/finding-duplicates-in-a-data-frame-tp4633231.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at 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.
What are the names of your data.frames columns? Paste the output of the following commands in a post: dput(head(df1, 30)) dput(head(df2, 30)) Tui Barradas Em 13-06-2012 12:55, Sathya Priya escreveu:> I got this error while trying your code.. Can you please sort it out > > Error in fix.by(by.x, x) : 'by' must specify valid column(s) >
On Wed, Jun 13, 2012 at 03:16:57AM -0700, sathya7priya wrote:> I have two data frames which has 3 columns each.My first data frame is large > like this below > "new.col ppm.p. freq.p." > "1_3_diaminopropane 3.13859 5.67516" > "1_3_diaminopropane 3.137 6.65388" > "1_3_diaminopropane 3.13541 8.0142" > "1_3_diaminopropane 3.13383 9.64184" > "1_3_diaminopropane 3.12075 298.243" > "1_3_diaminopropane 3.1152 44.6212" > "1_3_diaminopropane 3.10528 337.852" > "1_3_diaminopropane 3.09617 44.1467" > "1_3_diaminopropane 3.08943 308.2" > "1_3_diaminopropane 3.0807 7.47272" > "1_3_diaminopropane 3.07912 5.6996"[...]> "2_amino_5_ethyl_1_3_4_thiadiazole 1.15306 116.661" > "2_amino_5_ethyl_1_3_4_thiadiazole 1.14513 64.8014" > "2_amino_5_ethyl_1_3_4_thiadiazole 1.13681 45.9263" > "2_amino_5_ethyl_1_3_4_thiadiazole 1.12848 35.0817" > "2_amino_5_ethyl_1_3_4_thiadiazole 0.000156828 127.55" > > > And my second dataframe is like query which has limited rows > "new.col ppm.p. freq.p." > "unknown" 7.44687 7.1684 > "unknown" 4.81412 105.11 > I want to compare the second and third columns of both dataframe and see > whether there are any identical values in them. > My expected answer is that the second dataframe is similar to values of > 1_amino_1_phenylmethyl_phosphonic_acidpeak in data frame 1.Hi. If you look for similar and not identical values, then it is possible to specify a tolerance and use sum of squares distance. Since the second data frame is not large, a loop may be used. For example # some data base <- data.frame(x1=letters[1:5], x2=seq(1, 2, length=5), x3=seq(1.2, 1.8, length=5)) observed <- data.frame(x1=letters[6:8], x2=c(1.4, 1.01, 1.27), x3=c(1.6, 1.21, 1.37)) # choose tolerance eps <- 0.05 # inspect data mat1 <- as.matrix(base[, 2:3]) mat2 <- as.matrix(observed[, 2:3]) for (i in seq.int(length=nrow(observed))) { j <- which(rowSums(sweep(mat1, MARGIN=2, mat2[i, ])^2) <= eps^2) if (length(j) >= 1) cat("row", i, "is similar to row:", j, "\n") } Hope this helps. Petr Savicky.
Hello,
Thanks! Now we can see that your df1 only has one column, your dataset
was messed up in some previous step. So, it needs to be transformed into
a 3 columns data.frame first. Then use merge().
x <- levels(df1$new.col.ppm.p..freq.p.)[df1$new.col.ppm.p..freq.p.]
x <- t(sapply(x, function(xx) strsplit(xx, " ")))
x <- data.frame(do.call(rbind, x), stringsAsFactors=FALSE)
names(x) <- names(df2)
x$ppm.p. <- as.numeric(x$ppm.p.)
x$freq.p. <- as.numeric(x$freq.p.)
str(x)
'data.frame': 30 obs. of 3 variables:
$ new.col: chr "1_3_diaminopropane" "1_3_diaminopropane"
"1_3_diaminopropane" "1_3_diaminopropane" ...
$ ppm.p. : num 3.14 3.14 3.14 3.13 3.12 ...
$ freq.p.: num 5.68 6.65 8.01 9.64 298.24 ...
# If the output is like above, it's ok to merge the two dfs
merge(x, df2, by.x=c("ppm.p.", "freq.p."),
by.y=c("ppm.p.", "freq.p."))
If you want it's also ok to rename 'x' as 'df1', with df1
<- x
If this doesn't do it, say something.
Rui Barradas
Em 13-06-2012 13:45, Sathya Priya escreveu:> *>dput(head(df1, 30))*
> structure(list(new.col.ppm.p..freq.p. = structure(c(22L, 21L,
> 20L, 19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L,
> 7L, 6L, 5L, 4L, 3L, 2L, 1L, 24L, 23L, 26L, 25L, 90L, 89L, 88L,
> 87L), .Label = c("1_3_diaminopropane -0.00533455 7.32726",
> "1_3_diaminopropane 0.00021588 103.234",
> "1_3_diaminopropane 0.00655923 7.6155", "1_3_diaminopropane
2.04634
> 32.1115",
> "1_3_diaminopropane 2.0618 72.4135", "1_3_diaminopropane
2.06497 49.6692",
> "1_3_diaminopropane 2.07251 47.5652", "1_3_diaminopropane
2.07727 135.629",
> "1_3_diaminopropane 2.08242 51.5292", "1_3_diaminopropane
2.09312 79.8969",
> "1_3_diaminopropane 2.10859 37.0658", "1_3_diaminopropane
3.07912 5.6996",
> "1_3_diaminopropane 3.0807 7.47272", "1_3_diaminopropane
3.08943 308.2",
> "1_3_diaminopropane 3.09617 44.1467", "1_3_diaminopropane
3.10528 337.852",
> "1_3_diaminopropane 3.1152 44.6212", "1_3_diaminopropane
3.12075 298.243",
> "1_3_diaminopropane 3.13383 9.64184", "1_3_diaminopropane
3.13541 8.0142",
> "1_3_diaminopropane 3.137 6.65388", "1_3_diaminopropane
3.13859 5.67516",
> "1_3_dimethylurea 2.66393 39.238", "1_3_dimethylurea 4.80643
88.4026",
> "1_amino_1_phenylmethyl_phosphonic_acid 4.81412 105.11",
> "1_amino_1_phenylmethyl_phosphonic_acid 7.44687 7.1684",
> "2_3_diphospho_D_glyceric_acid 0.000156828 127.55",
> "2_3_diphospho_D_glyceric_acid 1.12848 35.0817",
> "2_3_diphospho_D_glyceric_acid 1.13681 45.9263",
> "2_3_diphospho_D_glyceric_acid 1.14513 64.8014",
> "2_3_diphospho_D_glyceric_acid 1.15306 116.661",
> "2_3_diphospho_D_glyceric_acid 1.1598 115.19",
> "2_3_diphospho_D_glyceric_acid 1.1709 102.384",
> "2_3_diphospho_D_glyceric_acid 1.17764 140.963",
> "2_3_diphospho_D_glyceric_acid 1.18478 115.727",
> "2_3_diphospho_D_glyceric_acid 1.19548 62.2725",
> "2_3_diphospho_D_glyceric_acid 1.20262 74.4761",
> "2_3_diphospho_D_glyceric_acid 1.20936 48.6332",
> "2_3_diphospho_D_glyceric_acid 1.21808 10.5804",
> "2_3_diphospho_D_glyceric_acid 1.22482 6.26529",
> "2_3_diphospho_D_glyceric_acid 1.27239 64.2389",
> "2_3_diphospho_D_glyceric_acid 1.27834 93.7896",
> "2_3_diphospho_D_glyceric_acid 1.29737 211.264",
> "2_3_diphospho_D_glyceric_acid 1.30371 298.131",
> "2_3_diphospho_D_glyceric_acid 1.32076 616.226",
> "2_3_diphospho_D_glyceric_acid 1.32671 503.942",
> "2_3_diphospho_D_glyceric_acid 1.33107 662.735",
> "2_3_diphospho_D_glyceric_acid 1.33741 593.161",
> "2_3_diphospho_D_glyceric_acid 1.35208 290.138",
> "2_3_diphospho_D_glyceric_acid 1.35724 310.132",
> "2_3_diphospho_D_glyceric_acid 1.36992 38.1639",
> "2_3_diphospho_D_glyceric_acid 1.38182 93.7426",
> "2_3_diphospho_D_glyceric_acid 1.62604 191.929",
> "2_3_diphospho_D_glyceric_acid 1.6522 179.805",
> "2_3_diphospho_D_glyceric_acid 1.77788 274.143",
> "2_3_diphospho_D_glyceric_acid 1.78462 294.731",
> "2_3_diphospho_D_glyceric_acid 1.79572 410.836",
> "2_3_diphospho_D_glyceric_acid 1.80167 361.596",
> "2_3_diphospho_D_glyceric_acid 1.82585 30.7865",
> "2_3_diphospho_D_glyceric_acid 1.95311 34.917",
> "2_3_diphospho_D_glyceric_acid 1.95787 30.7119",
> "2_3_diphospho_D_glyceric_acid 1.97849 465.916",
> "2_3_diphospho_D_glyceric_acid 1.99395 300.192",
> "2_3_diphospho_D_glyceric_acid 3.10007 55.6859",
> "2_3_diphospho_D_glyceric_acid 3.108 92.3526",
> "2_3_diphospho_D_glyceric_acid 3.12148 159.122",
> "2_3_diphospho_D_glyceric_acid 3.12981 193.855",
> "2_3_diphospho_D_glyceric_acid 3.13813 121.311",
> "2_3_diphospho_D_glyceric_acid 3.14289 114.087",
> "2_3_diphospho_D_glyceric_acid 3.15121 92.128",
> "2_3_diphospho_D_glyceric_acid 3.96911 17.9823",
> "2_3_diphospho_D_glyceric_acid 3.97823 36.9309",
> "2_3_diphospho_D_glyceric_acid 3.99052 57.8175",
> "2_3_diphospho_D_glyceric_acid 3.99964 100.939",
> "2_3_diphospho_D_glyceric_acid 4.00876 61.2461",
> "2_3_diphospho_D_glyceric_acid 4.01232 60.9695",
> "2_3_diphospho_D_glyceric_acid 4.01906 70.3493",
> "2_3_diphospho_D_glyceric_acid 4.02144 66.5612",
> "2_3_diphospho_D_glyceric_acid 4.02858 58.5852",
> "2_3_diphospho_D_glyceric_acid 4.03373 24.3897",
> "2_3_diphospho_D_glyceric_acid 4.04047 22.4084",
> "2_3_diphospho_D_glyceric_acid 4.04325 23.3606",
> "2_3_diphospho_D_glyceric_acid 4.04999 17.279",
> "2_3_diphospho_D_glyceric_acid 4.4853 22.1747",
> "2_3_diphospho_D_glyceric_acid 4.49164 44.5942",
> "2_3_diphospho_D_glyceric_acid 4.49799 25.3894",
> "2_3_diphospho_D_glyceric_acid 4.50076 35.5218",
> "2_3_diphospho_D_glyceric_acid 4.51028 44.1328",
> "2_3_diphospho_D_glyceric_acid 4.51622 21.4894",
> "2_3_diphospho_D_glyceric_acid 4.5186 18.3831",
> "2_amino_5_ethyl_1_3_4_thiadiazole 0.000156828 127.55",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.12848 35.0817",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.13681 45.9263",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.14513 64.8014",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.15306 116.661",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.1598 115.19",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.1709 102.384",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.17764 140.963",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.18478 115.727",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.19548 62.2725",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.20262 74.4761",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.20936 48.6332",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.21808 10.5804",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.22482 6.26529",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.27239 64.2389",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.27834 93.7896",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.29737 211.264",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.30371 298.131",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.32076 616.226",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.32671 503.942",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.33107 662.735",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.33741 593.161",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.35208 290.138",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.35724 310.132",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.36992 38.1639",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.38182 93.7426",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.62604 191.929",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.6522 179.805",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.77788 274.143",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.78462 294.731",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.79572 410.836",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.80167 361.596",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.82585 30.7865",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.95311 34.917",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.95787 30.7119",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.97849 465.916",
> "2_amino_5_ethyl_1_3_4_thiadiazole 1.99395 300.192",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.10007 55.6859",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.108 92.3526",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.12148 159.122",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.12981 193.855",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.13813 121.311",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.14289 114.087",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.15121 92.128",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.96911 17.9823",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.97823 36.9309",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.99052 57.8175",
> "2_amino_5_ethyl_1_3_4_thiadiazole 3.99964 100.939",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.00876 61.2461",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.01232 60.9695",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.01906 70.3493",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.02144 66.5612",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.02858 58.5852",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.03373 24.3897",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.04047 22.4084",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.04325 23.3606",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.04999 17.279",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.4853 22.1747",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.49164 44.5942",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.49799 25.3894",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.50076 35.5218",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.51028 44.1328",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.51622 21.4894",
> "2_amino_5_ethyl_1_3_4_thiadiazole 4.5186 18.3831"
> ), class = "factor")), .Names =
"new.col.ppm.p..freq.p.", row.names = c(NA,
> 30L), class = "data.frame")
>> dput(head(df2, 30))
> structure(list(new.col = structure(c(1L, 1L), .Label = "unknown",
class > "factor"),
> ppm.p. = c(7.44687, 4.81412), freq.p. = c(7.1684, 105.11)), .Names
> c("new.col",
> "ppm.p.", "freq.p."), row.names = 1:2, class =
"data.frame")
>
Hi,
Try this:
?dat1<-data.frame(x=letters[1:5],y1=4:8,y2=sample(1:4,5,replace=T))
?dat2<-data.frame(x=letters[6:10],y1=4:8,y2=sample(1:4,5,replace=T))
?merge(dat1,dat2,by=c("y1","y2"))
A.K.
----- Original Message -----
From: sathya7priya <sathya7priya at gmail.com>
To: r-help at r-project.org
Cc:
Sent: Wednesday, June 13, 2012 6:16 AM
Subject: [R] finding duplicates in a data frame
I have two data frames which has 3 columns each.My first data frame is large
like this below
"new.col ppm.p. freq.p."
"1_3_diaminopropane 3.13859 5.67516"
"1_3_diaminopropane 3.137 6.65388"
"1_3_diaminopropane 3.13541 8.0142"
"1_3_diaminopropane 3.13383 9.64184"
"1_3_diaminopropane 3.12075 298.243"
"1_3_diaminopropane 3.1152 44.6212"
"1_3_diaminopropane 3.10528 337.852"
"1_3_diaminopropane 3.09617 44.1467"
"1_3_diaminopropane 3.08943 308.2"
"1_3_diaminopropane 3.0807 7.47272"
"1_3_diaminopropane 3.07912 5.6996"
"1_3_diaminopropane 2.10859 37.0658"
"1_3_diaminopropane 2.09312 79.8969"
"1_3_diaminopropane 2.08242 51.5292"
"1_3_diaminopropane 2.07727 135.629"
"1_3_diaminopropane 2.07251 47.5652"
"1_3_diaminopropane 2.06497 49.6692"
"1_3_diaminopropane 2.0618 72.4135"
"1_3_diaminopropane 2.04634 32.1115"
"1_3_diaminopropane 0.00655923 7.6155"
"1_3_diaminopropane 0.00021588 103.234"
"1_3_diaminopropane -0.00533455 7.32726"
"1_3_dimethylurea 4.80643 88.4026"
"1_3_dimethylurea 2.66393 39.238"
"1_amino_1_phenylmethyl_phosphonic_acid 7.44687 7.1684"
"1_amino_1_phenylmethyl_phosphonic_acid 4.81412 105.11"
"2_3_diphospho_D_glyceric_acid 4.5186 18.3831"
"2_3_diphospho_D_glyceric_acid 4.51622 21.4894"
"2_3_diphospho_D_glyceric_acid 4.51028 44.1328"
"2_3_diphospho_D_glyceric_acid 4.50076 35.5218"
"2_3_diphospho_D_glyceric_acid 4.49799 25.3894"
"2_3_diphospho_D_glyceric_acid 4.49164 44.5942"
"2_3_diphospho_D_glyceric_acid 4.4853 22.1747"
"2_3_diphospho_D_glyceric_acid 4.04999 17.279"
"2_3_diphospho_D_glyceric_acid 4.04325 23.3606"
"2_3_diphospho_D_glyceric_acid 4.04047 22.4084"
"2_3_diphospho_D_glyceric_acid 4.03373 24.3897"
"2_3_diphospho_D_glyceric_acid 4.02858 58.5852"
"2_3_diphospho_D_glyceric_acid 4.02144 66.5612"
"2_3_diphospho_D_glyceric_acid 4.01906 70.3493"
"2_3_diphospho_D_glyceric_acid 4.01232 60.9695"
"2_3_diphospho_D_glyceric_acid 4.00876 61.2461"
"2_3_diphospho_D_glyceric_acid 3.99964 100.939"
"2_3_diphospho_D_glyceric_acid 3.99052 57.8175"
"2_3_diphospho_D_glyceric_acid 3.97823 36.9309"
"2_3_diphospho_D_glyceric_acid 3.96911 17.9823"
"2_3_diphospho_D_glyceric_acid 3.15121 92.128"
"2_3_diphospho_D_glyceric_acid 3.14289 114.087"
"2_3_diphospho_D_glyceric_acid 3.13813 121.311"
"2_3_diphospho_D_glyceric_acid 3.12981 193.855"
"2_3_diphospho_D_glyceric_acid 3.12148 159.122"
"2_3_diphospho_D_glyceric_acid 3.108 92.3526"
"2_3_diphospho_D_glyceric_acid 3.10007 55.6859"
"2_3_diphospho_D_glyceric_acid 1.99395 300.192"
"2_3_diphospho_D_glyceric_acid 1.97849 465.916"
"2_3_diphospho_D_glyceric_acid 1.95787 30.7119"
"2_3_diphospho_D_glyceric_acid 1.95311 34.917"
"2_3_diphospho_D_glyceric_acid 1.82585 30.7865"
"2_3_diphospho_D_glyceric_acid 1.80167 361.596"
"2_3_diphospho_D_glyceric_acid 1.79572 410.836"
"2_3_diphospho_D_glyceric_acid 1.78462 294.731"
"2_3_diphospho_D_glyceric_acid 1.77788 274.143"
"2_3_diphospho_D_glyceric_acid 1.6522 179.805"
"2_3_diphospho_D_glyceric_acid 1.62604 191.929"
"2_3_diphospho_D_glyceric_acid 1.38182 93.7426"
"2_3_diphospho_D_glyceric_acid 1.36992 38.1639"
"2_3_diphospho_D_glyceric_acid 1.35724 310.132"
"2_3_diphospho_D_glyceric_acid 1.35208 290.138"
"2_3_diphospho_D_glyceric_acid 1.33741 593.161"
"2_3_diphospho_D_glyceric_acid 1.33107 662.735"
"2_3_diphospho_D_glyceric_acid 1.32671 503.942"
"2_3_diphospho_D_glyceric_acid 1.32076 616.226"
"2_3_diphospho_D_glyceric_acid 1.30371 298.131"
"2_3_diphospho_D_glyceric_acid 1.29737 211.264"
"2_3_diphospho_D_glyceric_acid 1.27834 93.7896"
"2_3_diphospho_D_glyceric_acid 1.27239 64.2389"
"2_3_diphospho_D_glyceric_acid 1.22482 6.26529"
"2_3_diphospho_D_glyceric_acid 1.21808 10.5804"
"2_3_diphospho_D_glyceric_acid 1.20936 48.6332"
"2_3_diphospho_D_glyceric_acid 1.20262 74.4761"
"2_3_diphospho_D_glyceric_acid 1.19548 62.2725"
"2_3_diphospho_D_glyceric_acid 1.18478 115.727"
"2_3_diphospho_D_glyceric_acid 1.17764 140.963"
"2_3_diphospho_D_glyceric_acid 1.1709 102.384"
"2_3_diphospho_D_glyceric_acid 1.1598 115.19"
"2_3_diphospho_D_glyceric_acid 1.15306 116.661"
"2_3_diphospho_D_glyceric_acid 1.14513 64.8014"
"2_3_diphospho_D_glyceric_acid 1.13681 45.9263"
"2_3_diphospho_D_glyceric_acid 1.12848 35.0817"
"2_3_diphospho_D_glyceric_acid 0.000156828 127.55"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.5186 18.3831"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.51622 21.4894"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.51028 44.1328"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.50076 35.5218"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.49799 25.3894"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.49164 44.5942"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.4853 22.1747"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.04999 17.279"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.04325 23.3606"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.04047 22.4084"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.03373 24.3897"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.02858 58.5852"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.02144 66.5612"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.01906 70.3493"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.01232 60.9695"
"2_amino_5_ethyl_1_3_4_thiadiazole 4.00876 61.2461"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.99964 100.939"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.99052 57.8175"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.97823 36.9309"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.96911 17.9823"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.15121 92.128"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.14289 114.087"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.13813 121.311"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.12981 193.855"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.12148 159.122"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.108 92.3526"
"2_amino_5_ethyl_1_3_4_thiadiazole 3.10007 55.6859"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.99395 300.192"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.97849 465.916"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.95787 30.7119"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.95311 34.917"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.82585 30.7865"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.80167 361.596"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.79572 410.836"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.78462 294.731"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.77788 274.143"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.6522 179.805"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.62604 191.929"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.38182 93.7426"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.36992 38.1639"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.35724 310.132"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.35208 290.138"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.33741 593.161"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.33107 662.735"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.32671 503.942"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.32076 616.226"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.30371 298.131"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.29737 211.264"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.27834 93.7896"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.27239 64.2389"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.22482 6.26529"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.21808 10.5804"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.20936 48.6332"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.20262 74.4761"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.19548 62.2725"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.18478 115.727"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.17764 140.963"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.1709 102.384"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.1598 115.19"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.15306 116.661"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.14513 64.8014"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.13681 45.9263"
"2_amino_5_ethyl_1_3_4_thiadiazole 1.12848 35.0817"
"2_amino_5_ethyl_1_3_4_thiadiazole 0.000156828 127.55"
And my second dataframe is like query which has limited rows
"new.col ppm.p. freq.p."
"unknown" 7.44687 7.1684
"unknown" 4.81412 105.11
I want to compare the second and third columns of both dataframe and see
whether there are any identical values in them.
My expected answer is that the second dataframe is similar to? values of
1_amino_1_phenylmethyl_phosphonic_acidpeak? in data frame 1.
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