Dear R users,
I like to split my data by a vector created by using variable
"ranges". This vector will have the current range (ranges), preceding
range (ranges - 1), and post range (ranges + 1) for a given plotid. If the
preceding or post ranges in this vector are outside the levels of ranges in the
data set then I like to drop those ranges and only include the ranges that are
available. Variable "rangestouse" includes all the desired ranges I
like to subset a given plotid. After I subset these dataset using these desired
ranges, then I like to extract the yield data for checks in those desired ranges
and adjust yield of my data by dividing yield of a given plotid with the check
average for the desired ranges.
I have created this function (fun1) but when I run it, I get the following
error:
Error in m1[[i]] : subscript out of bounds
Any help will be highly appreciated!
Thanks, Nilesh
Dataset:
dput(mydata)
structure(list(rows = structure(c(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, 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), .Label = c("1", "2",
"3",
"4"), class = "factor"), cols = structure(c(1L, 10L, 11L,
12L,
13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 1L, 10L,
11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L,
1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L,
6L, 7L, 8L, 9L), .Label = c("1", "2", "3",
"4", "5", "6", "7",
"8", "9", "10", "11", "12",
"13", "14", "15", "16"), class =
"factor"),
plotid = c(289L, 298L, 299L, 300L, 301L, 302L, 303L, 304L,
290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 384L, 375L,
374L, 373L, 372L, 371L, 370L, 369L, 383L, 382L, 381L, 380L,
379L, 378L, 377L, 376L, 385L, 394L, 395L, 396L, 397L, 398L,
399L, 400L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L,
480L, 471L, 470L, 469L, 468L, 467L, 466L, 465L, 479L, 478L,
477L, 476L, 475L, 474L, 473L, 472L), yield = c(5.1, 5, 3.9,
4.6, 5, 4.4, 5.1, 4.3, 5.5, 5, 5.5, 6.2, 5.1, 5.5, 5.2, 5,
5.6, 4.7, 5.4, 4.8, 4.6, 3.9, 4.2, 4.4, 5.3, 5.5, 5.8, 4.6,
5.8, 4.8, 5.3, 5.5, 5.6, 4.2, 4.6, 4.2, 4.2, 4, 3.9, 4.5,
5, 4.8, 4.9, 5.2, 5.3, 4.6, 4.8, 5.3, 4.5, 4.5, 5.1, 4.9,
5.2, 4.6, 4.8, 5.4, 5.9, 4.9, 5.8, 5.3, 4.8, 4.7, 5.2, 5.8
), linecode = structure(c(1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L), .Label = c("check",
"variety"), class = "factor"), ranges = c(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, 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
), rangestouse = structure(c(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, 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), .Label = c("1,2",
"1,2,3", "2,3,4", "3,4"), class =
"factor")), .Names = c("rows",
"cols", "plotid", "yield", "linecode",
"ranges", "rangestouse"
), class = "data.frame", row.names = c(NA, -64L))
Function:
fun1<- function (dataset, plot.id, ranges2use, control)
{
m1 <- strsplit(as.character(dataset$ranges2use), ",")
dat1 <- data.frame()
m2 <- c()
row_check_mean <- c()
row_check_adj_yield <- c()
x <- length(plot.id)
for (i in (1:x)) {
m2[i] <- m1[[i]]
dat1 <- dataset[dataset$ranges %in% m2[i], ]
row_check_mean[i] <- tapply(dat1$trait, dat1$control,
mean, na.rm = TRUE)[1]
row_check_adj_yield[i] <- ifelse(control[i] == "variety",
trait[i]/dataset$row_check_mean[i], trait[i]/trait[i])
}
data.frame(dataset, row_check_adj_yield)
}
Apply function:
fun1(mydata, plot.id=mydata$plotid, ranges2use =
mydata$rangestouse,control=mydata$linecode)
Error:
Error in m1[[i]] : subscript out of bounds
Session info:
R version 3.2.1 (2015-06-18)
Platform: i386-w64-mingw32/i386 (32-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] magrittr_1.5 plyr_1.8.3 tools_3.2.1 reshape2_1.4.1 Rcpp_0.12.1
stringi_1.0-1
[7] grid_3.2.1 agridat_1.12 stringr_1.0.0 lattice_0.20-31
Nilesh Dighe
(806)-252-7492 (Cell)
(806)-741-2019 (Office)
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subsidiaries. The recipient of this e-mail is solely responsible for checking
for the presence of "Viruses" or other "Malware".
Monsanto, along with its subsidiaries, accepts no liability for any damage
caused by any such code transmitted by or accompanying
this e-mail or any attachment.
The information contained in this email may be subject to the export control
laws and regulations of the United States, potentially
including but not limited to the Export Administration Regulations (EAR) and
sanctions regulations issued by the U.S. Department of
Treasury, Office of Foreign Asset Controls (OFAC). As a recipient of this
information you are obligated to comply with all
applicable U.S. export laws and regulations.
[[alternative HTML version deleted]]
length(strsplit(as.character(mydata$ranges2use), ",")) was that what you expected? I think not. On 23/11/2015 16:05, DIGHE, NILESH [AG/2362] wrote:> Dear R users, > I like to split my data by a vector created by using variable "ranges". This vector will have the current range (ranges), preceding range (ranges - 1), and post range (ranges + 1) for a given plotid. If the preceding or post ranges in this vector are outside the levels of ranges in the data set then I like to drop those ranges and only include the ranges that are available. Variable "rangestouse" includes all the desired ranges I like to subset a given plotid. After I subset these dataset using these desired ranges, then I like to extract the yield data for checks in those desired ranges and adjust yield of my data by dividing yield of a given plotid with the check average for the desired ranges. > > I have created this function (fun1) but when I run it, I get the following error: > > Error in m1[[i]] : subscript out of bounds > > Any help will be highly appreciated! > Thanks, Nilesh > > Dataset: > dput(mydata) > structure(list(rows = structure(c(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, 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), .Label = c("1", "2", "3", > "4"), class = "factor"), cols = structure(c(1L, 10L, 11L, 12L, > 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 1L, 10L, > 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, > 1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, 6L, 7L, > 8L, 9L, 1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, 5L, > 6L, 7L, 8L, 9L), .Label = c("1", "2", "3", "4", "5", "6", "7", > "8", "9", "10", "11", "12", "13", "14", "15", "16"), class = "factor"), > plotid = c(289L, 298L, 299L, 300L, 301L, 302L, 303L, 304L, > 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 384L, 375L, > 374L, 373L, 372L, 371L, 370L, 369L, 383L, 382L, 381L, 380L, > 379L, 378L, 377L, 376L, 385L, 394L, 395L, 396L, 397L, 398L, > 399L, 400L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, > 480L, 471L, 470L, 469L, 468L, 467L, 466L, 465L, 479L, 478L, > 477L, 476L, 475L, 474L, 473L, 472L), yield = c(5.1, 5, 3.9, > 4.6, 5, 4.4, 5.1, 4.3, 5.5, 5, 5.5, 6.2, 5.1, 5.5, 5.2, 5, > 5.6, 4.7, 5.4, 4.8, 4.6, 3.9, 4.2, 4.4, 5.3, 5.5, 5.8, 4.6, > 5.8, 4.8, 5.3, 5.5, 5.6, 4.2, 4.6, 4.2, 4.2, 4, 3.9, 4.5, > 5, 4.8, 4.9, 5.2, 5.3, 4.6, 4.8, 5.3, 4.5, 4.5, 5.1, 4.9, > 5.2, 4.6, 4.8, 5.4, 5.9, 4.9, 5.8, 5.3, 4.8, 4.7, 5.2, 5.8 > ), linecode = structure(c(1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L), .Label = c("check", > "variety"), class = "factor"), ranges = c(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, 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 > ), rangestouse = structure(c(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, 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), .Label = c("1,2", > "1,2,3", "2,3,4", "3,4"), class = "factor")), .Names = c("rows", > "cols", "plotid", "yield", "linecode", "ranges", "rangestouse" > > ), class = "data.frame", row.names = c(NA, -64L)) > > Function: > > fun1<- function (dataset, plot.id, ranges2use, control) > > { > > m1 <- strsplit(as.character(dataset$ranges2use), ",") > > dat1 <- data.frame() > > m2 <- c() > > row_check_mean <- c() > > row_check_adj_yield <- c() > > x <- length(plot.id) > > for (i in (1:x)) { > > m2[i] <- m1[[i]] > > dat1 <- dataset[dataset$ranges %in% m2[i], ] > > row_check_mean[i] <- tapply(dat1$trait, dat1$control, > > mean, na.rm = TRUE)[1] > > row_check_adj_yield[i] <- ifelse(control[i] == "variety", > > trait[i]/dataset$row_check_mean[i], trait[i]/trait[i]) > > } > > data.frame(dataset, row_check_adj_yield) > > } > > Apply function: > fun1(mydata, plot.id=mydata$plotid, ranges2use = mydata$rangestouse,control=mydata$linecode) > > Error: > > Error in m1[[i]] : subscript out of bounds > > Session info: > > R version 3.2.1 (2015-06-18) > > Platform: i386-w64-mingw32/i386 (32-bit) > > Running under: Windows 7 x64 (build 7601) Service Pack 1 > > > > locale: > > [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 > > [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C > > [5] LC_TIME=English_United States.1252 > > > > attached base packages: > > [1] stats graphics grDevices utils datasets methods base > > > > loaded via a namespace (and not attached): > > [1] magrittr_1.5 plyr_1.8.3 tools_3.2.1 reshape2_1.4.1 Rcpp_0.12.1 stringi_1.0-1 > > [7] grid_3.2.1 agridat_1.12 stringr_1.0.0 lattice_0.20-31 > > > Nilesh Dighe > (806)-252-7492 (Cell) > (806)-741-2019 (Office) > > > This e-mail message may contain privileged and/or confidential information, and is intended to be received only by persons entitled > to receive such information. If you have received this e-mail in error, please notify the sender immediately. Please delete it and > all attachments from any servers, hard drives or any other media. Other use of this e-mail by you is strictly prohibited. > > All e-mails and attachments sent and received are subject to monitoring, reading and archival by Monsanto, including its > subsidiaries. The recipient of this e-mail is solely responsible for checking for the presence of "Viruses" or other "Malware". > Monsanto, along with its subsidiaries, accepts no liability for any damage caused by any such code transmitted by or accompanying > this e-mail or any attachment. > > > The information contained in this email may be subject to the export control laws and regulations of the United States, potentially > including but not limited to the Export Administration Regulations (EAR) and sanctions regulations issued by the U.S. Department of > Treasury, Office of Foreign Asset Controls (OFAC). As a recipient of this information you are obligated to comply with all > applicable U.S. export laws and regulations. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. >-- Michael http://www.dewey.myzen.co.uk/home.html
Michael: I like to use the actual range id's listed in column "rangestouse" to subset my data and not the length of that vector. Thanks. Nilesh -----Original Message----- From: Michael Dewey [mailto:lists at dewey.myzen.co.uk] Sent: Monday, November 23, 2015 10:17 AM To: DIGHE, NILESH [AG/2362]; r-help at r-project.org Subject: Re: [R] subset data using a vector length(strsplit(as.character(mydata$ranges2use), ",")) was that what you expected? I think not. On 23/11/2015 16:05, DIGHE, NILESH [AG/2362] wrote:> Dear R users, > I like to split my data by a vector created by using variable "ranges". This vector will have the current range (ranges), preceding range (ranges - 1), and post range (ranges + 1) for a given plotid. If the preceding or post ranges in this vector are outside the levels of ranges in the data set then I like to drop those ranges and only include the ranges that are available. Variable "rangestouse" includes all the desired ranges I like to subset a given plotid. After I subset these dataset using these desired ranges, then I like to extract the yield data for checks in those desired ranges and adjust yield of my data by dividing yield of a given plotid with the check average for the desired ranges. > > I have created this function (fun1) but when I run it, I get the following error: > > Error in m1[[i]] : subscript out of bounds > > Any help will be highly appreciated! > Thanks, Nilesh > > Dataset: > dput(mydata) > structure(list(rows = structure(c(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, 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), .Label = c("1", "2", "3", "4"), class = "factor"), > cols = structure(c(1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, > 5L, 6L, 7L, 8L, 9L, 1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, > 5L, 6L, 7L, 8L, 9L, 1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, > 5L, 6L, 7L, 8L, 9L, 1L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 2L, 3L, 4L, > 5L, 6L, 7L, 8L, 9L), .Label = c("1", "2", "3", "4", "5", "6", "7", > "8", "9", "10", "11", "12", "13", "14", "15", "16"), class = "factor"), > plotid = c(289L, 298L, 299L, 300L, 301L, 302L, 303L, 304L, > 290L, 291L, 292L, 293L, 294L, 295L, 296L, 297L, 384L, 375L, > 374L, 373L, 372L, 371L, 370L, 369L, 383L, 382L, 381L, 380L, > 379L, 378L, 377L, 376L, 385L, 394L, 395L, 396L, 397L, 398L, > 399L, 400L, 386L, 387L, 388L, 389L, 390L, 391L, 392L, 393L, > 480L, 471L, 470L, 469L, 468L, 467L, 466L, 465L, 479L, 478L, > 477L, 476L, 475L, 474L, 473L, 472L), yield = c(5.1, 5, 3.9, > 4.6, 5, 4.4, 5.1, 4.3, 5.5, 5, 5.5, 6.2, 5.1, 5.5, 5.2, 5, > 5.6, 4.7, 5.4, 4.8, 4.6, 3.9, 4.2, 4.4, 5.3, 5.5, 5.8, 4.6, > 5.8, 4.8, 5.3, 5.5, 5.6, 4.2, 4.6, 4.2, 4.2, 4, 3.9, 4.5, > 5, 4.8, 4.9, 5.2, 5.3, 4.6, 4.8, 5.3, 4.5, 4.5, 5.1, 4.9, > 5.2, 4.6, 4.8, 5.4, 5.9, 4.9, 5.8, 5.3, 4.8, 4.7, 5.2, 5.8 > ), linecode = structure(c(1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L), .Label = c("check", > "variety"), class = "factor"), ranges = c(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, 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 > ), rangestouse = structure(c(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, 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), .Label = c("1,2", > "1,2,3", "2,3,4", "3,4"), class = "factor")), .Names = c("rows", > "cols", "plotid", "yield", "linecode", "ranges", "rangestouse" > > ), class = "data.frame", row.names = c(NA, -64L)) > > Function: > > fun1<- function (dataset, plot.id, ranges2use, control) > > { > > m1 <- strsplit(as.character(dataset$ranges2use), ",") > > dat1 <- data.frame() > > m2 <- c() > > row_check_mean <- c() > > row_check_adj_yield <- c() > > x <- length(plot.id) > > for (i in (1:x)) { > > m2[i] <- m1[[i]] > > dat1 <- dataset[dataset$ranges %in% m2[i], ] > > row_check_mean[i] <- tapply(dat1$trait, dat1$control, > > mean, na.rm = TRUE)[1] > > row_check_adj_yield[i] <- ifelse(control[i] == "variety", > > trait[i]/dataset$row_check_mean[i], trait[i]/trait[i]) > > } > > data.frame(dataset, row_check_adj_yield) > > } > > Apply function: > fun1(mydata, plot.id=mydata$plotid, ranges2use = > mydata$rangestouse,control=mydata$linecode) > > Error: > > Error in m1[[i]] : subscript out of bounds > > Session info: > > R version 3.2.1 (2015-06-18) > > Platform: i386-w64-mingw32/i386 (32-bit) > > Running under: Windows 7 x64 (build 7601) Service Pack 1 > > > > locale: > > [1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United > States.1252 > > [3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C > > [5] LC_TIME=English_United States.1252 > > > > attached base packages: > > [1] stats graphics grDevices utils datasets methods base > > > > loaded via a namespace (and not attached): > > [1] magrittr_1.5 plyr_1.8.3 tools_3.2.1 reshape2_1.4.1 Rcpp_0.12.1 stringi_1.0-1 > > [7] grid_3.2.1 agridat_1.12 stringr_1.0.0 lattice_0.20-31 > > > Nilesh Dighe > (806)-252-7492 (Cell) > (806)-741-2019 (Office) > > > This e-mail message may contain privileged and/or confidential > information, and is intended to be received only by persons entitled > to receive such information. If you have received this e-mail in error, please notify the sender immediately. Please delete it and all attachments from any servers, hard drives or any other media. Other use of this e-mail by you is strictly prohibited. > > All e-mails and attachments sent and received are subject to > monitoring, reading and archival by Monsanto, including its subsidiaries. The recipient of this e-mail is solely responsible for checking for the presence of "Viruses" or other "Malware". > Monsanto, along with its subsidiaries, accepts no liability for any > damage caused by any such code transmitted by or accompanying this e-mail or any attachment. > > > The information contained in this email may be subject to the export > control laws and regulations of the United States, potentially > including but not limited to the Export Administration Regulations > (EAR) and sanctions regulations issued by the U.S. Department of Treasury, Office of Foreign Asset Controls (OFAC). As a recipient of this information you are obligated to comply with all applicable U.S. export laws and regulations. > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. >-- Michael http://www.dewey.myzen.co.uk/home.html This e-mail message may contain privileged and/or confidential information, and is intended to be received only by persons entitled to receive such information. If you have received this e-mail in error, please notify the sender immediately. Please delete it and all attachments from any servers, hard drives or any other media. Other use of this e-mail by you is strictly prohibited. All e-mails and attachments sent and received are subject to monitoring, reading and archival by Monsanto, including its subsidiaries. The recipient of this e-mail is solely responsible for checking for the presence of "Viruses" or other "Malware". Monsanto, along with its subsidiaries, accepts no liability for any damage caused by any such code transmitted by or accompanying this e-mail or any attachment. The information contained in this email may be subject to the export control laws and regulations of the United States, potentially including but not limited to the Export Administration Regulations (EAR) and sanctions regulations issued by the U.S. Department of Treasury, Office of Foreign Asset Controls (OFAC). As a recipient of this information you are obligated to comply with all applicable U.S. export laws and regulations.