[R] How to create a data set from object/data frame?

[Richard O'Keefe]

No, read.table() *isn't* about printing.
If you have data stored as text in a tabular format,
you use read.data, read.csv, read.csv2, read.delim, or read.delim2
to read it.  This returns a new data frame.  Example:
> x <- read.table(textConnection(c(
+ "A B",
+ "1 2",
+ "3 4")), TRUE)

> x
  A B
1 1 2
2 3 4

Reading the table and storing it in x does not result in anything being
printed.
It's asking for the value of an expression that gets you printout.


On Sat, 20 Jul 2019 at 05:33, Sarah Goslee <sarah.goslee using gmail.com> wrote:

> You don't need fake.data or rnorm(), which was used to generate the fake
> data.
>
> You need to use your real data for the analysis, not anything randomly
> generated for example purposes, or anything included with a package
> for example purposes.
>
> In both cases, those are just worked examples.You need to analyze your
> own comparable data.
>
> Sarah
>
> On Fri, Jul 19, 2019 at 12:17 PM Spencer Brackett
> <spbrackett20 using saintjosephhs.com> wrote:
> >
> > Sarah,
> >
> > Thank you for the reference to ?data. Upon further research into the
> matter, I think I can provide a simpler explanation than the one previously
> provided. I am trying to reproduce the following code with an object --
> 'anno' -- in my data frame/environment.
> >
> >   >fake.data <- matrix(rnorm(8*200), ncol=8)
> >
> > I found the number of columns with >ncol(anno)  , which is 3
> >
> > How do I find rnorm when I don't have the data table (saved as the
> 'anno' object) mean or standard dev. ?
> >
> > I will try reading in the data object through read.table() now, though
> won't that just print the data or a subset thereof into my R console?
> >
> >
> >
> > On Fri, Jul 19, 2019 at 10:46 AM Spencer Brackett <
> spbrackett20 using saintjosephhs.com> wrote:
> >>
> >> Sarah,
> >>
> >>   I am trying to extract phenoData (ie sample information) from the
> object as part of a procedure to analyze my array for probe sets, which I
> realize is under the BioConducter package Biobase and not relevant to this
> mailing list.
> >>
> >>   Yes the original procedure uses data from the Dilution dataset hosted
> in the AffyBatch package affydata. Previous to this part of the procedure,
> a dataset was create via..
> >>
> >>   >fake.data <- matrix(rnorm(8*200), ncol=8)
> >> ##Then phenotype (sample) data was generated in this example through...
> ##
> >>
> >>   sample.info <- data.frame( + spl=paste('A', 1:8, sep=''), +
> stat=rep(c('cancer' , 'healthy'), each=4))
> >>
> >> ##Then a meta data.frame object was created to give more intelligible
> labels##
> >>
> >> > meta.info <- data.frame (labelDescription = + c('Sample Name' ,
> 'Cancer Status')) Then we put them all together: > pheno <-
> new("AnnotatedDataFrame", + data = sample.info, + varMetadata = meta.info)
> >>
> >> ##Which was then aggregated together##
> >>
> >> > pheno <- new("AnnotatedDataFrame", + data = sample.info, +
> varMetadata = meta.info)
> >>
> >>   >my.experiments <- new("ExpressionSet", + exprs=fake.data,
> phenoData=pheno)
> >>    > my.experiments
> >> ExpressionSet (storageMode: lockedEnvironment) assayData: 200 features,
> 8 samples element names: exprs
> >>
> >> ##The following deals with further manipulating the phenoData##
> >> phenoData
> >>    sampleNames: 1, 2, ..., 8 (8 total) varLabels and varMetadata
> description: spl: Sample Name stat: Cancer Status
> >>
> >> featureData
> >>  featureNames: 1, 2, ..., 200 (200 total) fvarLabels and fvarMetadata
> description: none
> >> experimentData:  use 'experimentData(object)'
> >> Annotation:
> >>
> >> ##At this point is when the dataset 'Dilution was read in through
> data(Dilution)
> >>
> >> which was made an object of the AnnotatedDataFrame via
> >>
> >> >phenoData(Dilution)
> >>
> >> My apologies in advance as I know the above info. pertains to functions
> carried out strictly through BioConducor, but is the only context I can
> provide for what I am trying to do.
> >>
> >> Best,
> >>
> >> Spencer
> >>
> >>
> >> On Fri, Jul 19, 2019 at 10:23 AM Sarah Goslee <sarah.goslee using gmail.com>
> wrote:
> >>>
> >>> Hi Spencer,
> >>>
> >>> Your description doesn't make any sense to me. If anno is already an R
> >>> object, what are you trying to do with it?
> >>>
> >>> data() is for loading datasets that come with packages; if your object
> >>> is already an R object in your environment, then there's no need for
> >>> it.
> >>>
> >>> It sounds like you are possibly working through an example provided
> >>> elsewhere, that has sample data loaded with data(). If so, then you do
> >>> not need that step for your own data. You just need to import it into
> >>> R in the correct format.
> >>>
> >>> If that doesn't help, then I think we need more information on what
> >>> you're trying to do.
> >>>
> >>> Sarah
> >>>
> >>> On Fri, Jul 19, 2019 at 10:18 AM Spencer Brackett
> >>> <spbrackett20 using saintjosephhs.com> wrote:
> >>> >
> >>> > Hello,
> >>> >
> >>> >   I am trying to create a data set from an object called ‘anno’ in my
> >>> > environment. I’ve tried arguments like saveRDS(anno, file = “”) and
> >>> > save(anno, file “.RData”) to save the object as a file to see if
> that will
> >>> > work, but it seems for the particular procedure I am trying to carry
> out, I
> >>> > need to transpose the object to a data set. Any ideas as to how I
> might do
> >>> > this? For reference, my next step in manipulating the data contained
> in the
> >>> > object is data(), which evidently does not work for reading in data
> frame
> >>> > objects as data(“file/object name).
> >>> >
> >>> > Best,
> >>> >
> >>> > Spencer
> >>> >
> >>> >         [[alternative HTML version deleted]]
> >>> >
> >>> > ______________________________________________
> >>> > R-help using 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.
> >>>
> >>>
>
> ______________________________________________
> R-help using 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.
>

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