Error in com.bin[[i]]: attempt to select less than one element in integerOneIndex

[Kaoping]

Dear Ning

I am trying to use this package to estimate microbial community assembly, but when I run taxa.binphy.big, the value of bin.id.new for each OTU is "NA". I also tried icamp.big, but an error message "Error in com.bin[[i]]: attempt to select less than one element in integerOneIndex." occurred. Hope you could help me to fix the error. Thank you for your time!

Here is the code I used: ds = 0.2 bin.size.limit = 12 sig.index="Confidence" phylobin=taxa.binphy.big(tree = tree, pd.desc = pd.big$pd.file,pd.spname = pd.big$tip.label, pd.wd = pd.big$pd.wd, ds = ds, bin.size.limit = bin.size.limit) sp.bin=phylobin$sp.bin[,3,drop=FALSE] sp.bin icres=iCAMP::icamp.big(comm=comm, pd.desc = pd.big$pd.file, pd.spname=pd.big$tip.label, pd.wd = pd.big$pd.wd, rand = 999, tree=tree, ds = 0.2, pd.cut = NA, sp.check = TRUE, phylo.rand.scale = "within.bin", taxa.rand.scale = "across.all", phylo.metric = "bMPD", sig.index=sig.index, bin.size.limit = bin.size.limit, rtree.save = FALSE, detail.save = TRUE, qp.save = FALSE, detail.null = FALSE, ignore.zero = TRUE, output.wd = save.wd, correct.special = TRUE, unit.sum = rowSums(comm), special.method = "depend", ses.cut = 1.96, rc.cut = 0.95, conf.cut=0.975, omit.option = "no",meta.ab = NULL)

Besides, for QPEN calculation, there is no qpen.test() function for significane test.

[DaliangNing]

@Kaoping For taxa.binphy.big problem, please send me (ningdaliang@ou.edu) your input files and the exact code file you used. I will test and debug. For qpen.test, you need to use the iCAMP version>1.4.1. The new versions have not been uploaded to CRAN, thus need to be installed from the file now. You may download from https://github.com/DaliangNing/iCAMP1/tree/master/RPackage/AllVersions

[Kaoping]

Thank you for your response. The attachments are my input files and the code I used. Please help me to fix the error. Thank you very much.

On 3 Jun 2021, at 8:44 PM, Daliang Ning @.**@.>> wrote:

@Kaopinghttps://github.com/Kaoping For taxa.binphy.big problem, please send me your input files and the exact code file you used. I will test and debug. For qpen.test, you need to use the iCAMP version>1.4.1. The new versions have not been uploaded to CRAN, thus need to be installed from the file now. You may download from https://github.com/DaliangNing/iCAMP1/tree/master/RPackage/AllVersions

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[DaliangNing]

@Kaoping My previous code did not consider a tree with a single edge from the root. The new version (1.4.5) should solve this problem, which can be downloaded from https://github.com/DaliangNing/iCAMP1/tree/master/RPackage/AllVersions and installed from the source file. Please set d.cut.method='maxdroot' when using taxa.binphy.big or icamp.big. Attention: if you do not specify d.cut.method, it will still use the previous algorithm and fail to bin the taxa.

[DaliangNing]

@Kaoping version 1.4.5 has a bug in icamp.big, please use the latest version (1.4.6).

[Kaoping]

Really appreciate for your reminder. I tried the 1.4.5 version, it didn't work well, I will try the new one. Thank you!

Besides, I have a problem with the qpen.test() function. I didn’t get any result by running the code “qptest=qpen.test(qpen.result = qpout,treat = treat[,1,drop = FALSE],rand.time = 999, between.group = TRUE,out.detail=TRUE,silent=FALSE)” more than one day. Could you help me to check if I did something wrong?

On 5 Jun 2021, at 9:12 PM, Daliang Ning @.***> wrote:

@Kaoping https://github.com/Kaoping version 1.4.5 has a bug in icamp.big, please use the latest version (1.4.6).

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/DaliangNing/iCAMP1/issues/11#issuecomment-855238555, or unsubscribe https://github.com/notifications/unsubscribe-auth/ARGLYW5PM7UOUTBNULTIF2TTRIPEBANCNFSM46AJYH7Q.

[DaliangNing]

@Kaoping please save the qpout as a rda file and send me (ningdaliang@ou.edu) for debugging qpen.test function.

[DaliangNing]

@Kaoping Please use the updated version of iCAMP (v 1.4.7, can be downloaded from https://github.com/DaliangNing/iCAMP1/tree/master/RPackage/AllVersions). With the new version, qpen.test of your data can finish in 24 min on my desktop.

By the way, in most cases, we set 'between.group=FALSE', which means we only compare the difference of assembly processes underlying 'within-group' turnovers in different groups. If the 'between.group=TRUE', the turnovers (beta diversities) between each pair of treatments will also be counted as a group. Your dataset has 36 groups. If added all between-group turnover groups (630 groups), there will be 666 groups. The comparisons between each two of these 666 groups will be 666 x 665 / 2 = 221,445 comparisons, then the comparison output matrix will have 2,443,210 rows. Need to carefully think about how to summarize.

[Kaoping]

Yes, you are right. The problem came from the setting “between.group = TRUE”. When I change the parameter to false, even use the 1.4.6 version, the code works well. Truly appreciate you assistance.

On 10 Jun 2021, at 7:49 AM, Daliang Ning @.***> wrote:

@Kaoping https://github.com/Kaoping Please use the updated version of iCAMP (v 1.4.7, can be downloaded from https://github.com/DaliangNing/iCAMP1/tree/master/RPackage/AllVersions https://github.com/DaliangNing/iCAMP1/tree/master/RPackage/AllVersions). With the new version, qpen.test of your data can finish in 24 min on my desktop.

By the way, in most cases, we set 'between.group=FALSE', which means we only compare the difference of assembly processes underlying 'within-group' turnovers in different groups. If the 'between.group=TRUE', the turnovers (beta diversities) between each pair of treatments will also be counted as a group. Your dataset has 36 groups. If added all between-group turnover groups (630 groups), there will be 666 groups. The comparisons between each two of these 666 groups will be 666 x 665 / 2 = 221,445 comparisons, then the comparison output matrix will have 2,443,210 rows. Need to carefully think about how to summarize.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/DaliangNing/iCAMP1/issues/11#issuecomment-858173761, or unsubscribe https://github.com/notifications/unsubscribe-auth/ARGLYW77CBJSKJKTWQJF5YDTR74W5ANCNFSM46AJYH7Q.