HI,
dat1<- structure(list(Location_name = c("079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna",
"079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna", "079-f2p1-Acetuna"
), SPEC_CODE = c("Buzz", "Buzz", "Eumspp", "Frag", "Molspp",
"Molspp", "Phyllo", "Ptedav", "Ptegym", "Ptepar", "Rhotum", "Sacbil",
"Saclep", "Buzz", "Buzz", "Molmol", "Molspp", "Molspp", "Nocalb",
"Phyllo", "Ptedav", "Ptegym", "Ptepar", "Pteper", "Rhotum", "Sacbil",
"Saclep", "Buzz", "Buzz", "Eumspp", "Molspp", "Molspp", "Myokea",
"Nocalb", "Phyllo", "Ptedav", "Ptegym", "Ptepar", "Pteper", "Rhotum",
"Sacbil", "Saclep"), Start_Day = c("2/14/2012", "2/14/2012",
"2/14/2012", "2/14/2012", "2/14/2012", "2/14/2012", "2/14/2012",
"2/14/2012", "2/14/2012", "2/14/2012", "2/14/2012", "2/14/2012",
"2/14/2012", "2/15/2012", "2/15/2012", "2/15/2012", "2/15/2012",
"2/15/2012", "2/15/2012", "2/15/2012", "2/15/2012", "2/15/2012",
"2/15/2012", "2/15/2012", "2/15/2012", "2/15/2012", "2/15/2012",
"2/16/2012", "2/16/2012", "2/16/2012", "2/16/2012", "2/16/2012",
"2/16/2012", "2/16/2012", "2/16/2012", "2/16/2012", "2/16/2012",
"2/16/2012", "2/16/2012", "2/16/2012", "2/16/2012", "2/16/2012"
), Survey_Time = c(12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1,
12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1,
12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.2, 12.2,
12.2, 12.2, 12.2, 12.2, 12.2, 12.2, 12.2, 12.2, 12.2, 12.2, 12.2,
12.2, 12.2), AI = c(1L, 1L, 1L, 18L, 5L, 5L, 2L, 1L, 1L, 2L,
6L, 6L, 11L, 2L, 2L, 1L, 7L, 7L, 6L, 1L, 1L, 4L, 4L, 3L, 7L,
2L, 6L, 1L, 1L, 4L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 3L, 1L, 17L,
3L, 15L), Std_AI = c(0.8264463, 0.8264463, 0.8264463, 14.87603,
4.132231, 4.132231, 1.652893, 0.8264463, 0.8264463, 1.652893,
4.958678, 4.958678, 9.090909, 1.652893, 1.652893, 0.8264463,
5.785124, 5.785124, 4.958678, 0.8264463, 0.8264463, 3.305785,
3.305785, 2.479339, 5.785124, 1.652893, 4.958678, 0.8196721,
0.8196721, 3.278688, 1.639344, 1.639344, 0.8196721, 3.278688,
0.8196721, 0.8196721, 0.8196721, 2.459016, 0.8196721, 13.93443,
2.459016, 12.29508)), .Names = c("Location_name", "SPEC_CODE",
"Start_Day", "Survey_Time", "AI", "Std_AI"), class = "data.frame", row.names =
c(NA,
-42L))
library(plyr)
res<- mutate(ddply(dat1,.(SPEC_CODE,Location_name),function(x)
colSums(x[,-c(1:3,6)])),SumAIbySumST=Survey_Time/AI,Std.SumAIbySumST=10*SumAIbySumST)
res
# SPEC_CODE Location_name Survey_Time AI SumAIbySumST Std.SumAIbySumST
#1 Buzz 079-f2p1-Acetuna 72.8 8 9.1000000 91.000000
#2 Eumspp 079-f2p1-Acetuna 24.3 5 4.8600000 48.600000
#3 Frag 079-f2p1-Acetuna 12.1 18 0.6722222 6.722222
#4 Molmol 079-f2p1-Acetuna 12.1 1 12.1000000 121.000000
#5 Molspp 079-f2p1-Acetuna 72.8 28 2.6000000 26.000000
#6 Myokea 079-f2p1-Acetuna 12.2 1 12.2000000 122.000000
#7 Nocalb 079-f2p1-Acetuna 24.3 10 2.4300000 24.300000
#8 Phyllo 079-f2p1-Acetuna 36.4 4 9.1000000 91.000000
#9 Ptedav 079-f2p1-Acetuna 36.4 3 12.1333333 121.333333
#10 Ptegym 079-f2p1-Acetuna 36.4 6 6.0666667 60.666667
#11 Ptepar 079-f2p1-Acetuna 36.4 9 4.0444444 40.444444
#12 Pteper 079-f2p1-Acetuna 24.3 4 6.0750000 60.750000
#13 Rhotum 079-f2p1-Acetuna 36.4 30 1.2133333 12.133333
#14 Sacbil 079-f2p1-Acetuna 36.4 11 3.3090909 33.090909
#15 Saclep 079-f2p1-Acetuna 36.4 32 1.1375000 11.375000
A.K.
----- Original Message -----
From: Bruce Miller <batsnc...@gmail.com>
To: r-help@r-project.org
Cc:
Sent: Saturday, April 20, 2013 9:55 AM
Subject: [R] Reshape or Plyr?
H all,
I have relative abundance data from >100 sites. This is from acoustic
monitoring and usually the data is for 2-3 nights but in some cases my
be longer like months or years for each location..
The data output from my management data base is proved by species by
night for each location so data frame would look like this below. What I
need to do is sum the Survey_time by Spec_Code for each location name
and divide summed AI values for each Spec_code by the summed Survey time
to adjust for unit effort then standardize it all by *10 to represent
the relative abundance by survey hour to 10 hours. How best to do this?
Using Plyr or reshape?
Location name SPEC_CODE Start_Day Survey_Time AI Std AI
079-f2p1-Acetuna Buzz 2/14/2012 12.1 1 0.8264463
079-f2p1-Acetuna Buzz 2/14/2012 12.1 1 0.8264463
079-f2p1-Acetuna Eumspp 2/14/2012 12.1 1 0.8264463
079-f2p1-Acetuna Frag 2/14/2012 12.1 18 14.87603
079-f2p1-Acetuna Molspp 2/14/2012 12.1 5 4.132231
079-f2p1-Acetuna Molspp 2/14/2012 12.1 5 4.132231
079-f2p1-Acetuna Phyllo 2/14/2012 12.1 2 1.652893
079-f2p1-Acetuna Ptedav 2/14/2012 12.1 1 0.8264463
079-f2p1-Acetuna Ptegym 2/14/2012 12.1 1 0.8264463
079-f2p1-Acetuna Ptepar 2/14/2012 12.1 2 1.652893
079-f2p1-Acetuna Rhotum 2/14/2012 12.1 6 4.958678
079-f2p1-Acetuna Sacbil 2/14/2012 12.1 6 4.958678
079-f2p1-Acetuna Saclep 2/14/2012 12.1 11 9.090909
079-f2p1-Acetuna Buzz 2/15/2012 12.1 2 1.652893
079-f2p1-Acetuna Buzz 2/15/2012 12.1 2 1.652893
079-f2p1-Acetuna Molmol 2/15/2012 12.1 1 0.8264463
079-f2p1-Acetuna Molspp 2/15/2012 12.1 7 5.785124
079-f2p1-Acetuna Molspp 2/15/2012 12.1 7 5.785124
079-f2p1-Acetuna Nocalb 2/15/2012 12.1 6 4.958678
079-f2p1-Acetuna Phyllo 2/15/2012 12.1 1 0.8264463
079-f2p1-Acetuna Ptedav 2/15/2012 12.1 1 0.8264463
079-f2p1-Acetuna Ptegym 2/15/2012 12.1 4 3.305785
079-f2p1-Acetuna Ptepar 2/15/2012 12.1 4 3.305785
079-f2p1-Acetuna Pteper 2/15/2012 12.1 3 2.479339
079-f2p1-Acetuna Rhotum 2/15/2012 12.1 7 5.785124
079-f2p1-Acetuna Sacbil 2/15/2012 12.1 2 1.652893
079-f2p1-Acetuna Saclep 2/15/2012 12.1 6 4.958678
079-f2p1-Acetuna Buzz 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Buzz 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Eumspp 2/16/2012 12.2 4 3.278688
079-f2p1-Acetuna Molspp 2/16/2012 12.2 2 1.639344
079-f2p1-Acetuna Molspp 2/16/2012 12.2 2 1.639344
079-f2p1-Acetuna Myokea 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Nocalb 2/16/2012 12.2 4 3.278688
079-f2p1-Acetuna Phyllo 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Ptedav 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Ptegym 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Ptepar 2/16/2012 12.2 3 2.459016
079-f2p1-Acetuna Pteper 2/16/2012 12.2 1 0.8196721
079-f2p1-Acetuna Rhotum 2/16/2012 12.2 17 13.93443
079-f2p1-Acetuna Sacbil 2/16/2012 12.2 3 2.459016
079-f2p1-Acetuna Saclep 2/16/2012 12.2 15 12.29508
Thanks for any suggestions. Excel will be a mess to try to do that.
Bruce
[[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.
