search for: sample_id

...Here's the complete post: Hi everyone, > > Since it's quite a while that I used the reshape package, I now feel kind > of rusty. > > I have a data.frame like this: > > > > id Sample.Name Marker Allele.1 > Allele.2 sample_id species > 1 01_primer01 Dalb01 165 > 179 SH233 D. madagascariensis > 2 01_primer04 Dalb04 221 > 225 SH233 D. madagascariensis >...

.... I've added some new vectors as columns in a data frame using cbind(). As they're all put as the last columns inte the data frame, I would like to move them to specific positions. How do you do to change the position of a column in a data frame? I know I can use fieldTrial0809=data.frame(Sample_ID=as.factor(fieldTrial0809$Sample_ID), Plant_ID=as.factor(fieldTrial0809$Plant_ID), ...) to create a new data frame with the given columns in the specified order, but there must be an easier way..? All the best, Joel _________________________________________________________________ Nya...

...d the first column for sample name. I want to take "Log" for all data, but how to compute without the first column for sample name. That is, column 1: sample ID column 2-10: data I want to find an average on each column (2-10) > apply(raw_data,2,mean) Error in Math.data.frame(list(sample_id = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, : non-numeric variable in data frame: sample_id Thank you in advance, Jin -- View this message in context: http://www.nabble.com/how-to-skip-a-numeric-column-for-averaging-other-columns--tp24723210p24723210.html Sent from the R help mailing list archive at Nab...

Hi everyone, I have an issue with a data conversion. First, I tried it with the reshape-package, but since it's quite a while that I used it, I feel kind of rusty... I have a data.frame like this: id Sample.Name Marker Allele.1 Allele.2 sample_id species 1 01_primer01 Dalb01 165 179 SH233 D. madagascariensis 2 01_primer04 Dalb04 221 225 SH233 D. madagascariensis 3 01_primer08...

...dure twice or thrice (kind of an internal control). So obviously I need to find those replications, and confirm that the results are the same. If there is discordance then I need to address it. I tried to use the aggregate function nr.attempts <-aggregate(RawSeq$GENOTYPE_ID,list(sample=RawSeq$SAMPLE_ID,assay=RawSeq$ASSAY_ID),length) This was simply to figure out how many times the same piece of information had been obtained. I ran out of patience. It took beyond forever and tapply did not perform much better. The reshape package did not help - it implied one was out of luck if the data was not nu...

...perfect for me and seems to be working well most of the time but some times I have the following problem: My worker is set up like this: class UploadWorker < BackgrounDRb::MetaWorker set_worker_name :upload_worker set_no_auto_load(true) def create(args = nil ) file = args[:file] sample_id = args[:sample_id] @user_id = args[:user_id] @submission_time = Time.now percent_complete = 0 total_count = get_total_count(file) register_status(:percent_complete => percent_complete, :total => total_count) <<< some long running task >>> exi...

hi guys..please help me with this i am working on two data frames one goes like this: DF1 Sample_id RepairHours Denatured Dose ZeroMean FourtyFiveMean NinetyMean 1 SDM071 0 1 B 60.5 19.0 45.0 2 SDM071 1 1 B 46.0 23.0 42.5 3 SDM071 2 1 B 52.5 24.0 40.0 4 SDM071...

...er's error of not giving an example of the data. There actually are no NA values, so I'm not simply replacing values in the data frame. So, the number of species (and therefore abundance values) listed in each treatment differs, even though they all have the same number of plots sampled. Sample_ID Spec_num Species_ID Abundance Treatment 1 1 SOLCAN 0.05 1 2 1 SOLCAN 1.5 1 3 1 SOLCAN 2.1 2 4 1 SOLCAN 3.2 2 5 2 ERISTR 2.4 1 6 2 ERISTR 3.1 1 7 2 ERISTR 5.6 1 8 2 ERISTR 6.3 1 9 2 ERISTR 2 1 10 2 ERISTR 3 2 11 2 ERISTR...