[R] merging multiple data frames
hi guys i have multiple data frames which i want to merge. there are four of them..eg pdf SampleID UVDose_J RepairHours Day_0 Day_45 Day_90 1SDM001 1.0 3 485.612 465.142 490.873 2SDM001 1.0 3 503.658 457.863 487.783 3SDM001 1.0 2 533.193 451.044 456.973 4SDM001 1.0 2 538.334 452.887 474.915 5SDM001 1.0 1 526.034 481.123 477.801 6SDM001 1.0 1 546.543 472.322 481.546 7SDM001 1.0 0 NA NA NA 8SDM001 1.0 0 NA NA NA 9SDM001 0.5 3 432.134 457.245 497.975 10 SDM001 0.5 3 432.605 450.184 489.468 11 SDM001 0.5 2 450.335 496.520 488.784 12 SDM001 0.5 2 439.590 474.371 470.182 13 SDM001 0.5 1 510.480 489.561 525.029 14 SDM001 0.5 1 487.934 467.258 488.784 15 SDM001 0.5 0 NA NA NA 16 SDM001 0.5 0 NA NA NA 20 SDM002 1.0 3 465.549 528.715 501.374 21 SDM002 1.0 3 458.168 505.480 489.244 22 SDM002 1.0 2 447.317 464.009 478.058 23 SDM002 1.0 2 452.020 438.446 470.996 24 SDM002 1.0 1 441.718 458.760 499.221 25 SDM002 1.0 1 447.017 402.616 548.797 26 SDM002 1.0 0 NA NA NA 27 SDM002 1.0 0 NA NA NA 28 SDM002 0.5 3 421.409 448.870 476.392 29 SDM002 0.5 3 404.089 446.413 477.080 30 SDM002 0.5 2 399.775 432.678 465.015 31 SDM002 0.5 2 427.157 443.418 477.048 32 SDM002 0.5 1 389.674 449.353 482.264 33 SDM002 0.5 1 418.147 455.983 495.486 34 SDM002 0.5 0 NA NA NA 35 SDM002 0.5 0 NA NA NA 39 SDM005 1.0 3 579.836 441.040 476.382 40 SDM005 1.0 3 578.525 443.875 472.867 41 SDM005 1.0 2 564.266 432.116 469.416 42 SDM005 1.0 2 571.045 447.658 458.233 43 SDM005 1.0 1 564.664 427.673 524.122 44 SDM005 1.0 1 568.182 458.039 477.237 45 SDM005 1.0 0 NA NA NA 46 SDM005 1.0 0 NA NA NA 47 SDM005 0.5 3 556.534 424.786 501.658 48 SDM005 0.5 3 474.027 441.418 507.635 49 SDM005 0.5 2 481.355 430.346 468.021 50 SDM005 0.5 2 478.922 466.933 471.025 51 SDM005 0.5 1 505.539 937.759 460.985 52 SDM005 0.5 1 497.913 457.932 493.152 53 SDM005 0.5 0 NA NA NA 54 SDM005 0.5 0 NA NA NA 58 SDM006 1.0 3 589.164 459.578 509.565 59 SDM006 1.0 3 608.477 480.233 519.785 60 SDM006 1.0 2 598.354 449.266 487.058 61 SDM006 1.0 2 617.823 456.908 507.467 62 SDM006 1.0 1 566.477 500.189 526.744 63 SDM006 1.0 1 622.170 462.463 550.675 64 SDM006 1.0 0 NA NA NA 65 SDM006 1.0 0 NA NA NA 66 SDM006 0.5 3 546.472 457.880 468.129 67 SDM006 0.5 3 525.069 444.575 505.154 68 SDM006 0.5 2 569.068 446.196 473.739 69 SDM006 0.5 2 534.205 470.366 476.570 bdf SampleID UVDose_J RepairHoursDay_0 Day_45 Day_90 17SDM001 0.5 B 88.6145 388.3575 198.467 36SDM002 0.5 B 100.0760 384.9505 234.740 55SDM005 0.5 B 121.9595 300.3650 241.832 74SDM006 0.5 B 174.7005 378.3435 291.272 93SDM007 0.5 B 319.7750 335.4390 110.306 112 SDM008 0.5 B 292.8400 323.0370 172.615 131 SDM010 0.5 B 112.0225 281.0390 562.459 150 SDM011 0.5 B 125.0440 331.4650 230.026 169 SDM012 0.5 B 229.1310 264.5580 234.231 188 SDM013 0.5 B 212.9690 524.0240 420.211 207 SDM014 0.5 B 366.3350 225.0610 203.588 226 SDM016 0.5 B 305.6080 381.5770 155.052 245 SDM017 0.5 B 223.6260 281.7830 182.374 264 SDM018 0.5 B 200.7720 401.6350 193.573 283 SDM019 0.5 B 164.2360 156.9960 175.896 302 SDM023 0.5 B 198.8900 210.0600 215.629 321 SDM024 0.5 B 351.8460 100.0980 185.388 340 SDM026 0.5 B 190.4560 132.8970 160.213 359 SDM028 0.5 B 252.9760 158.2910 120.425 378 SDM029 0.5 B 411.0690 134.1060 138.528 tdf SampleID UVDose_J RepairHours Day_0 Day_45 Day_90 19SDM001 0.5 T 642.3255 579.6635 537.581 38SDM002 0.5 T 531.2000
Re: [R] merging multiple data frames
Hi, On Thu, Sep 23, 2010 at 9:04 AM, rasanpreet rasanpreet.k...@gmail.com wrote: hi guys i have multiple data frames which i want to merge. there are four of them..eg Can you provide a (correct) example of what you want your merged data.frame to look like? What column do you want to use in your data.frame to merge against? I'm guessing SampleID(?), but then again, these aren't unique in your `pdf` data.frame. For instance, what would the row for SDM001 look like in your merged data.frame? -steve pdf SampleID UVDose_J RepairHours Day_0 Day_45 Day_90 1 SDM001 1.0 3 485.612 465.142 490.873 2 SDM001 1.0 3 503.658 457.863 487.783 3 SDM001 1.0 2 533.193 451.044 456.973 4 SDM001 1.0 2 538.334 452.887 474.915 5 SDM001 1.0 1 526.034 481.123 477.801 6 SDM001 1.0 1 546.543 472.322 481.546 7 SDM001 1.0 0 NA NA NA 8 SDM001 1.0 0 NA NA NA 9 SDM001 0.5 3 432.134 457.245 497.975 10 SDM001 0.5 3 432.605 450.184 489.468 11 SDM001 0.5 2 450.335 496.520 488.784 12 SDM001 0.5 2 439.590 474.371 470.182 13 SDM001 0.5 1 510.480 489.561 525.029 14 SDM001 0.5 1 487.934 467.258 488.784 15 SDM001 0.5 0 NA NA NA 16 SDM001 0.5 0 NA NA NA 20 SDM002 1.0 3 465.549 528.715 501.374 21 SDM002 1.0 3 458.168 505.480 489.244 22 SDM002 1.0 2 447.317 464.009 478.058 23 SDM002 1.0 2 452.020 438.446 470.996 24 SDM002 1.0 1 441.718 458.760 499.221 25 SDM002 1.0 1 447.017 402.616 548.797 26 SDM002 1.0 0 NA NA NA 27 SDM002 1.0 0 NA NA NA 28 SDM002 0.5 3 421.409 448.870 476.392 29 SDM002 0.5 3 404.089 446.413 477.080 30 SDM002 0.5 2 399.775 432.678 465.015 31 SDM002 0.5 2 427.157 443.418 477.048 32 SDM002 0.5 1 389.674 449.353 482.264 33 SDM002 0.5 1 418.147 455.983 495.486 34 SDM002 0.5 0 NA NA NA 35 SDM002 0.5 0 NA NA NA 39 SDM005 1.0 3 579.836 441.040 476.382 40 SDM005 1.0 3 578.525 443.875 472.867 41 SDM005 1.0 2 564.266 432.116 469.416 42 SDM005 1.0 2 571.045 447.658 458.233 43 SDM005 1.0 1 564.664 427.673 524.122 44 SDM005 1.0 1 568.182 458.039 477.237 45 SDM005 1.0 0 NA NA NA 46 SDM005 1.0 0 NA NA NA 47 SDM005 0.5 3 556.534 424.786 501.658 48 SDM005 0.5 3 474.027 441.418 507.635 49 SDM005 0.5 2 481.355 430.346 468.021 50 SDM005 0.5 2 478.922 466.933 471.025 51 SDM005 0.5 1 505.539 937.759 460.985 52 SDM005 0.5 1 497.913 457.932 493.152 53 SDM005 0.5 0 NA NA NA 54 SDM005 0.5 0 NA NA NA 58 SDM006 1.0 3 589.164 459.578 509.565 59 SDM006 1.0 3 608.477 480.233 519.785 60 SDM006 1.0 2 598.354 449.266 487.058 61 SDM006 1.0 2 617.823 456.908 507.467 62 SDM006 1.0 1 566.477 500.189 526.744 63 SDM006 1.0 1 622.170 462.463 550.675 64 SDM006 1.0 0 NA NA NA 65 SDM006 1.0 0 NA NA NA 66 SDM006 0.5 3 546.472 457.880 468.129 67 SDM006 0.5 3 525.069 444.575 505.154 68 SDM006 0.5 2 569.068 446.196 473.739 69 SDM006 0.5 2 534.205 470.366 476.570 bdf SampleID UVDose_J RepairHours Day_0 Day_45 Day_90 17 SDM001 0.5 B 88.6145 388.3575 198.467 36 SDM002 0.5 B 100.0760 384.9505 234.740 55 SDM005 0.5 B 121.9595 300.3650 241.832 74 SDM006 0.5 B 174.7005 378.3435 291.272 93 SDM007 0.5 B 319.7750 335.4390 110.306 112 SDM008 0.5 B 292.8400 323.0370 172.615 131 SDM010 0.5 B 112.0225 281.0390 562.459 150 SDM011 0.5 B 125.0440 331.4650 230.026 169 SDM012 0.5 B 229.1310 264.5580 234.231 188 SDM013 0.5 B 212.9690 524.0240 420.211 207 SDM014 0.5 B 366.3350 225.0610 203.588 226 SDM016 0.5 B 305.6080 381.5770 155.052 245 SDM017 0.5 B 223.6260 281.7830 182.374 264 SDM018 0.5 B 200.7720 401.6350 193.573 283 SDM019 0.5
Re: [R] merging multiple data frames
First, you might want to start by generating a new column to identify your 'pdf and bdf or whatever once it's merged. For the merging, see ?merge But as someone's already pointed out, it's not clear what you are trying to merge by. Also, as your example calculations show, you don't need to merge it to to the calcuations you want to do... On Thu, Sep 23, 2010 at 8:53 AM, Steve Lianoglou mailinglist.honey...@gmail.com wrote: Hi, On Thu, Sep 23, 2010 at 9:04 AM, rasanpreet rasanpreet.k...@gmail.com wrote: hi guys i have multiple data frames which i want to merge. there are four of them..eg Can you provide a (correct) example of what you want your merged data.frame to look like? What column do you want to use in your data.frame to merge against? I'm guessing SampleID(?), but then again, these aren't unique in your `pdf` data.frame. For instance, what would the row for SDM001 look like in your merged data.frame? -steve pdf SampleID UVDose_J RepairHours Day_0 Day_45 Day_90 1SDM001 1.0 3 485.612 465.142 490.873 2SDM001 1.0 3 503.658 457.863 487.783 3SDM001 1.0 2 533.193 451.044 456.973 4SDM001 1.0 2 538.334 452.887 474.915 5SDM001 1.0 1 526.034 481.123 477.801 6SDM001 1.0 1 546.543 472.322 481.546 7SDM001 1.0 0 NA NA NA 8SDM001 1.0 0 NA NA NA 9SDM001 0.5 3 432.134 457.245 497.975 10 SDM001 0.5 3 432.605 450.184 489.468 11 SDM001 0.5 2 450.335 496.520 488.784 12 SDM001 0.5 2 439.590 474.371 470.182 13 SDM001 0.5 1 510.480 489.561 525.029 14 SDM001 0.5 1 487.934 467.258 488.784 15 SDM001 0.5 0 NA NA NA 16 SDM001 0.5 0 NA NA NA 20 SDM002 1.0 3 465.549 528.715 501.374 21 SDM002 1.0 3 458.168 505.480 489.244 22 SDM002 1.0 2 447.317 464.009 478.058 23 SDM002 1.0 2 452.020 438.446 470.996 24 SDM002 1.0 1 441.718 458.760 499.221 25 SDM002 1.0 1 447.017 402.616 548.797 26 SDM002 1.0 0 NA NA NA 27 SDM002 1.0 0 NA NA NA 28 SDM002 0.5 3 421.409 448.870 476.392 29 SDM002 0.5 3 404.089 446.413 477.080 30 SDM002 0.5 2 399.775 432.678 465.015 31 SDM002 0.5 2 427.157 443.418 477.048 32 SDM002 0.5 1 389.674 449.353 482.264 33 SDM002 0.5 1 418.147 455.983 495.486 34 SDM002 0.5 0 NA NA NA 35 SDM002 0.5 0 NA NA NA 39 SDM005 1.0 3 579.836 441.040 476.382 40 SDM005 1.0 3 578.525 443.875 472.867 41 SDM005 1.0 2 564.266 432.116 469.416 42 SDM005 1.0 2 571.045 447.658 458.233 43 SDM005 1.0 1 564.664 427.673 524.122 44 SDM005 1.0 1 568.182 458.039 477.237 45 SDM005 1.0 0 NA NA NA 46 SDM005 1.0 0 NA NA NA 47 SDM005 0.5 3 556.534 424.786 501.658 48 SDM005 0.5 3 474.027 441.418 507.635 49 SDM005 0.5 2 481.355 430.346 468.021 50 SDM005 0.5 2 478.922 466.933 471.025 51 SDM005 0.5 1 505.539 937.759 460.985 52 SDM005 0.5 1 497.913 457.932 493.152 53 SDM005 0.5 0 NA NA NA 54 SDM005 0.5 0 NA NA NA 58 SDM006 1.0 3 589.164 459.578 509.565 59 SDM006 1.0 3 608.477 480.233 519.785 60 SDM006 1.0 2 598.354 449.266 487.058 61 SDM006 1.0 2 617.823 456.908 507.467 62 SDM006 1.0 1 566.477 500.189 526.744 63 SDM006 1.0 1 622.170 462.463 550.675 64 SDM006 1.0 0 NA NA NA 65 SDM006 1.0 0 NA NA NA 66 SDM006 0.5 3 546.472 457.880 468.129 67 SDM006 0.5 3 525.069 444.575 505.154 68 SDM006 0.5 2 569.068 446.196 473.739 69 SDM006 0.5 2 534.205 470.366 476.570 bdf SampleID UVDose_J RepairHoursDay_0 Day_45 Day_90 17SDM001 0.5 B 88.6145 388.3575 198.467 36SDM002 0.5 B 100.0760 384.9505 234.740 55SDM005 0.5 B 121.9595 300.3650 241.832 74SDM006 0.5 B 174.7005 378.3435 291.272 93SDM007 0.5 B 319.7750 335.4390 110.306 112 SDM008 0.5 B 292.8400 323.0370
Re: [R] merging multiple data frames
hi guys..thx for help i have to perform a calculation P-B/T-B where P is the values in pdf and B is the values in bdf and T in tdf On Thu, Sep 23, 2010 at 7:49 PM, Mike Rennie mikerenni...@gmail.com wrote: First, you might want to start by generating a new column to identify your 'pdf and bdf or whatever once it's merged. For the merging, see ?merge But as someone's already pointed out, it's not clear what you are trying to merge by. Also, as your example calculations show, you don't need to merge it to to the calcuations you want to do... On Thu, Sep 23, 2010 at 8:53 AM, Steve Lianoglou mailinglist.honey...@gmail.com wrote: Hi, On Thu, Sep 23, 2010 at 9:04 AM, rasanpreet rasanpreet.k...@gmail.com wrote: hi guys i have multiple data frames which i want to merge. there are four of them..eg Can you provide a (correct) example of what you want your merged data.frame to look like? What column do you want to use in your data.frame to merge against? I'm guessing SampleID(?), but then again, these aren't unique in your `pdf` data.frame. For instance, what would the row for SDM001 look like in your merged data.frame? -steve pdf SampleID UVDose_J RepairHours Day_0 Day_45 Day_90 1SDM001 1.0 3 485.612 465.142 490.873 2SDM001 1.0 3 503.658 457.863 487.783 3SDM001 1.0 2 533.193 451.044 456.973 4SDM001 1.0 2 538.334 452.887 474.915 5SDM001 1.0 1 526.034 481.123 477.801 6SDM001 1.0 1 546.543 472.322 481.546 7SDM001 1.0 0 NA NA NA 8SDM001 1.0 0 NA NA NA 9SDM001 0.5 3 432.134 457.245 497.975 10 SDM001 0.5 3 432.605 450.184 489.468 11 SDM001 0.5 2 450.335 496.520 488.784 12 SDM001 0.5 2 439.590 474.371 470.182 13 SDM001 0.5 1 510.480 489.561 525.029 14 SDM001 0.5 1 487.934 467.258 488.784 15 SDM001 0.5 0 NA NA NA 16 SDM001 0.5 0 NA NA NA 20 SDM002 1.0 3 465.549 528.715 501.374 21 SDM002 1.0 3 458.168 505.480 489.244 22 SDM002 1.0 2 447.317 464.009 478.058 23 SDM002 1.0 2 452.020 438.446 470.996 24 SDM002 1.0 1 441.718 458.760 499.221 25 SDM002 1.0 1 447.017 402.616 548.797 26 SDM002 1.0 0 NA NA NA 27 SDM002 1.0 0 NA NA NA 28 SDM002 0.5 3 421.409 448.870 476.392 29 SDM002 0.5 3 404.089 446.413 477.080 30 SDM002 0.5 2 399.775 432.678 465.015 31 SDM002 0.5 2 427.157 443.418 477.048 32 SDM002 0.5 1 389.674 449.353 482.264 33 SDM002 0.5 1 418.147 455.983 495.486 34 SDM002 0.5 0 NA NA NA 35 SDM002 0.5 0 NA NA NA 39 SDM005 1.0 3 579.836 441.040 476.382 40 SDM005 1.0 3 578.525 443.875 472.867 41 SDM005 1.0 2 564.266 432.116 469.416 42 SDM005 1.0 2 571.045 447.658 458.233 43 SDM005 1.0 1 564.664 427.673 524.122 44 SDM005 1.0 1 568.182 458.039 477.237 45 SDM005 1.0 0 NA NA NA 46 SDM005 1.0 0 NA NA NA 47 SDM005 0.5 3 556.534 424.786 501.658 48 SDM005 0.5 3 474.027 441.418 507.635 49 SDM005 0.5 2 481.355 430.346 468.021 50 SDM005 0.5 2 478.922 466.933 471.025 51 SDM005 0.5 1 505.539 937.759 460.985 52 SDM005 0.5 1 497.913 457.932 493.152 53 SDM005 0.5 0 NA NA NA 54 SDM005 0.5 0 NA NA NA 58 SDM006 1.0 3 589.164 459.578 509.565 59 SDM006 1.0 3 608.477 480.233 519.785 60 SDM006 1.0 2 598.354 449.266 487.058 61 SDM006 1.0 2 617.823 456.908 507.467 62 SDM006 1.0 1 566.477 500.189 526.744 63 SDM006 1.0 1 622.170 462.463 550.675 64 SDM006 1.0 0 NA NA NA 65 SDM006 1.0 0 NA NA NA 66 SDM006 0.5 3 546.472 457.880 468.129 67 SDM006 0.5 3 525.069 444.575 505.154 68 SDM006 0.5 2 569.068 446.196 473.739 69 SDM006 0.5 2 534.205 470.366 476.570 bdf SampleID UVDose_J RepairHoursDay_0 Day_45 Day_90 17SDM001 0.5 B 88.6145 388.3575 198.467 36SDM002 0.5 B 100.0760 384.9505 234.740 55SDM005 0.5
Re: [R] merging multiple data frames
On Thu, Sep 23, 2010 at 12:18 PM, rasanpreet kaur suri rasanpreet.k...@gmail.com wrote: hi guys..thx for help i have to perform a calculation P-B/T-B where P is the values in pdf and B is the values in bdf and T in tdf You have 69 rows in your pdf data.frame, and something like 20 rows in bdf and tdf, so my original question stands: What column do you want to use in your data.frame to merge against? I'm guessing SampleID(?), but then again, these aren't unique in your `pdf` data.frame. For instance, what would the row for SDM001 look like in your merged data.frame? You know what I mean? How do you intend to group the rows across your pdf,bdf,tdf to do this calculation? -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact __ 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.
[R] merging multiple data frames based on X and Y coordinates
Hi all, I'm a little stumped on this. I have 5 data frames with continuous GPS coordinates at 5 to 10 m spacing. Due to the different GPS units used, data collected within one to two sec apart have coordinates that differ by 3 to 5 m on average. I'd like to aggrate the data frames relative to the one with the most continuous data stream, but I have no ideas how to specify a distance tolerance, (say 5 m ?) when using merge Does anyone know of a suitable function that might accomplish this? Thanks in advance... __ 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.
[R] merging multiple data frames with different numbers of rows
merge can only merge two objects at a time- I would like to merge more than two objects at a time. s.d - structure(list(RiverMile = c(202L, 198L, 190L, 185L, 179L, 148L, 119L, 61L)), .Names = RiverMile, row.names = c(NA, -8L), class = data.frame) #s.d is all of the river miles that can occur in all of the data frames that I want to put together feb06 - structure(list(RiverMile = c(202L, 190L, 185L), X2.1.06 = c(285, NA, NA)), .Names = c(RiverMile, X2.1.06), row.names = c(29L, 31L, 32L), class = data.frame) may06 - structure(list(RiverMile = c(202L, 198L, 190L, 185L, 148L), X5.1.06 = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)), .Names = c(RiverMile, X5.1.06), row.names = c(29L, 30L, 31L, 32L, 34L), class = data.frame) jun06 - structure(list(RiverMile = c(202L, 198L, 190L, 185L, 148L), X6.1.06 = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)), .Names = c(RiverMile, X6.1.06), row.names = c(29L, 30L, 31L, 32L, 34L), class = data.frame) merge(s.d, feb06, all=T) RiverMile X2.1.06 161 NA 2 119 NA 3 148 NA 4 179 NA 5 185 NA 6 190 NA 7 198 NA 8 202 285 #this is what I want- is there a way to implement this over many data frames -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis [[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.
Re: [R] merging multiple data frames with different numbers of rows
It appears that these are time series (i.e. there is only one value of River Mile in any one data frame) so if that's right you would be better off representing them as time series. Using zoo: library(zoo) feb06.z - zoo(feb06[,2], feb06[,1]) may06.z - zoo(may06[,2], may06[,1]) jun06.z - zoo(jun06[,2], jun06[,1]) merge(feb06.z, may06.z, jun06.z) feb06.z may06.z jun06.z 148 NA NA NA 185 NA NA NA 190 NA NA NA 198 NA NA NA 202 285 NA NA Alternately this also works: L - list(feb06 = feb06, may06 = may06, jun06 = jun06) do.call(merge, lapply(L, function(x) zoo(x[,2], x[,1]))) feb06 may06 jun06 148 NANANA 185 NANANA 190 NANANA 198 NANANA 202 285NANA Read the three vignettes that come with zoo and also ?merge.zoo On Tue, Apr 29, 2008 at 10:42 AM, stephen sefick [EMAIL PROTECTED] wrote: merge can only merge two objects at a time- I would like to merge more than two objects at a time. s.d - structure(list(RiverMile = c(202L, 198L, 190L, 185L, 179L, 148L, 119L, 61L)), .Names = RiverMile, row.names = c(NA, -8L), class = data.frame) #s.d is all of the river miles that can occur in all of the data frames that I want to put together feb06 - structure(list(RiverMile = c(202L, 190L, 185L), X2.1.06 = c(285, NA, NA)), .Names = c(RiverMile, X2.1.06), row.names = c(29L, 31L, 32L), class = data.frame) may06 - structure(list(RiverMile = c(202L, 198L, 190L, 185L, 148L), X5.1.06 = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)), .Names = c(RiverMile, X5.1.06), row.names = c(29L, 30L, 31L, 32L, 34L), class = data.frame) jun06 - structure(list(RiverMile = c(202L, 198L, 190L, 185L, 148L), X6.1.06 = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_)), .Names = c(RiverMile, X6.1.06), row.names = c(29L, 30L, 31L, 32L, 34L), class = data.frame) merge(s.d, feb06, all=T) RiverMile X2.1.06 161 NA 2 119 NA 3 148 NA 4 179 NA 5 185 NA 6 190 NA 7 198 NA 8 202 285 #this is what I want- is there a way to implement this over many data frames -- Let's not spend our time and resources thinking about things that are so little or so large that all they really do for us is puff us up and make us feel like gods. We are mammals, and have not exhausted the annoying little problems of being mammals. -K. Mullis [[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. __ 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.
