We still have only the toy version of your data from your first email. The 
second email used dput() as I suggested, but you truncated the results so it is 
useless for testing purposes.

Use the following code after creating DataList (up to mx <- ... ) in my earlier 
answer:

n <- sapply(DataList, length)
hits <- unname(unlist(DataList))
Regulator <- unname(unlist(mapply(rep, names(DataList), times=n)))
DataTable <- table(hits, Regulator)

#            Regulator
# hits        AT1G69490 AT2G55980
#  AT1G05675         1         0
#  AT1G26380         1         0
#  AT2G85403         0         1
#  AT4G31950         1         0
#  AT4G89223         0         1
#  AT5G24110         1         0

Now the Regulators and the hits will be listed in alphabetical order. The table 
has 0's for Regulators that do not have a particular hit. If you want NAs:

DataTable[DataTable==0] <- NA
print(DataTable, na.print="NA")
#            Regulator
# hits        AT1G69490 AT2G55980
#   AT1G05675         1        NA
#   AT1G26380         1        NA
#   AT2G85403        NA         1
#   AT4G31950         1        NA
#   AT4G89223        NA         1
#   AT5G24110         1        NA

If you need a data frame instead of a table:

as.data.frame.matrix(DataTable)

----------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77843-4352

-----Original Message-----
From: R-help <r-help-boun...@r-project.org> On Behalf Of Matthew
Sent: Tuesday, April 30, 2019 4:31 PM
To: r-help@r-project.org
Subject: [R] Fwd: Re: transpose and split dataframe

Thanks for your reply. I was trying to simplify it a little, but must 
have got it wrong. Here is the real dataframe, TF2list:

  str(TF2list)
'data.frame':    152 obs. of  2 variables:
  $ Regulator: Factor w/ 87 levels "AT1G02065","AT1G13960",..: 17 6 6 54 
54 82 82 82 82 82 ...
  $ hits     : Factor w/ 97 levels 
"AT1G05675,AT3G12910,AT1G22810,AT1G14540,AT1G21120,AT1G07160,AT5G22520,AT1G56250,AT2G31345,AT5G22530,AT4G11170,A"|
 
__truncated__,..: 65 57 90 57 87 57 56 91 31 17 ...

    And the first few lines resulting from dput(head(TF2list)):

dput(head(TF2list))
structure(list(Regulator = structure(c(17L, 6L, 6L, 54L, 54L,
82L), .Label = c("AT1G02065", "AT1G13960", "AT1G18860", "AT1G23380",
"AT1G29280", "AT1G29860", "AT1G30650", "AT1G55600", "AT1G62300",
"AT1G62990", "AT1G64000", "AT1G66550", "AT1G66560", "AT1G66600",
"AT1G68150", "AT1G69310", "AT1G69490", "AT1G69810", "AT1G70510", ...

This is another way of looking at the first 4 entries (Regulator is 
tab-separated from hits):

Regulator
   hits
1
AT1G69490
  
AT4G31950,AT5G24110,AT1G26380,AT1G05675,AT3G12910,AT5G64905,AT1G22810,AT1G79680,AT3G02840,AT5G25260,AT5G57220,AT2G37430,AT2G26560,AT1G56250,AT3G23230,AT1G16420,AT1G78410,AT4G22030,AT5G05300,AT1G69930,AT4G03460,AT4G11470,AT5G25250,AT5G36925,AT2G30750,AT1G16150,AT1G02930,AT2G19190,AT4G11890,AT1G72520,AT4G31940,AT5G37490,AT5G52760,AT5G66020,AT3G57460,AT4G23220,AT3G15518,AT2G43620,AT2G02010,AT1G35210,AT5G46295,AT1G17147,AT1G11925,AT2G39200,AT1G02920,AT2G40180,AT1G59865,AT4G35180,AT4G15417,AT1G51820,AT1G06135,AT1G36622,AT5G42830
2
AT1G29860
  
AT4G31950,AT5G24110,AT1G05675,AT3G12910,AT5G64905,AT1G22810,AT1G14540,AT1G79680,AT1G07160,AT3G23250,AT5G25260,AT1G53625,AT5G57220,AT2G37430,AT3G54150,AT1G56250,AT3G23230,AT1G16420,AT1G78410,AT4G22030,AT1G69930,AT4G03460,AT4G11470,AT5G25250,AT5G36925,AT4G14450,AT2G30750,AT1G16150,AT1G02930,AT2G19190,AT4G11890,AT1G72520,AT4G31940,AT5G37490,AT4G08555,AT5G66020,AT5G26920,AT3G57460,AT4G23220,AT3G15518,AT2G43620,AT1G35210,AT5G46295,AT1G17147,AT1G11925,AT2G39200,AT1G02920,AT4G35180,AT4G15417,AT1G51820,AT4G40020,AT1G06135

3
AT1G2986
  
AT5G64905,AT1G21120,AT1G07160,AT5G25260,AT1G53625,AT1G56250,AT2G31345,AT4G11170,AT1G66090,AT1G26410,AT3G55840,AT1G69930,AT4G03460,AT5G25250,AT5G36925,AT1G26420,AT5G42380,AT1G16150,AT2G22880,AT1G02930,AT4G11890,AT1G72520,AT5G66020,AT2G43620,AT2G44370,AT4G15975,AT1G35210,AT5G46295,AT1G11925,AT2G39200,AT1G02920,AT4G14370,AT4G35180,AT4G15417,AT2G18690,AT5G11140,AT1G06135,AT5G42830

    So, the goal would be to

first: Transpose the existing dataframe so that the factor Regulator 
becomes a column name (column 1 name = AT1G69490, column2 name 
AT1G29860, etc.) and the hits associated with each Regulator become 
rows. Hits is a comma separated 'list' ( I do not not know if 
technically it is an R list.), so it would have to be comma 
'unseparated' with each entry becoming a row (col 1 row 1 = AT4G31950, 
col 1 row 2 - AT5G24410, etc); like this :

AT1G69490
AT4G31950
AT5G24110
AT1G05675
AT5G64905

... I did not include all the rows)

I think it would be best to actually make the first entry a separate 
dataframe ( 1 column with name = AT1G69490 and number of rows depending 
on the number of hits), then make the second column (column name = 
AT1G29860, and number of rows depending on the number of hits) into a 
new dataframe and do a full join of of the two dataframes; continue by 
making the third column (column name = AT1G2986) into a dataframe and 
full join it with the previous; continue for the 152 observations so 
that then end result is a dataframe with 152 columns and number of rows 
depending on the entry with the greatest number of hits. The full joins 
I can do with dplyr, but getting up to that point seems rather difficult.

This would get me what my ultimate goal would be; each Regulator is a 
column name (152 columns) and a given row has either NA or the same hit.

    This seems very difficult to me, but I appreciate any attempt.

Matthew

On 4/30/2019 4:34 PM, David L Carlson wrote:
>          External Email - Use Caution
>
> I think we need more information. Can you give us the structure of the data 
> with str(YourDataFrame). Alternatively you could copy a small piece into your 
> email message by copying and pasting the results of the following code:
>
> dput(head(YourDataFrame))
>
> The data frame you present could not be a data frame since you say "hits" is 
> a factor with a variable number of elements. If each value of "hits" was a 
> single character string, it would only have 2 factor levels not 6 and your 
> efforts to parse the string would make more sense. Transposing to a data 
> frame would only be possible if each column was padded with NAs to make them 
> equal in length. Since your example tries use the name TF2list, it is 
> possible that you do not have a data frame but a list and you have no factor 
> levels, just character vectors.
>
> If you are not familiar with R, it may be helpful to tell us what your 
> overall goal is rather than an intermediate step. Very likely R can easily 
> handle what you want by doing things a different way.
>
> ----------------------------------------
> David L Carlson
> Department of Anthropology
> Texas A&M University
> College Station, TX 77843-4352
>
>
>
> -----Original Message-----
> From: R-help<r-help-boun...@r-project.org>  On Behalf Of Matthew
> Sent: Tuesday, April 30, 2019 2:25 PM
> To: r-help (r-help@r-project.org)<r-help@r-project.org>
> Subject: [R] transpose and split dataframe
>
> I have a data frame that is a lot bigger but for simplicity sake we can
> say it looks like this:
>
> Regulator    hits
> AT1G69490    AT4G31950,AT5G24110,AT1G26380,AT1G05675
> AT2G55980    AT2G85403,AT4G89223
>
>      In other words:
>
> data.frame : 2 obs. of 2 variables
> $Regulator: Factor w/ 2 levels
> $hits         : Factor w/ 6 levels
>
>     I want to transpose it so that Regulator is now the column headings
> and each of the AGI numbers now separated by commas is a row. So,
> AT1G69490 is now the header of the first column and AT4G31950 is row 1
> of column 1, AT5G24110 is row 2 of column 1, etc. AT2G55980 is header of
> column 2 and AT2G85403 is row 1 of column 2, etc.
>
>     I have tried playing around with strsplit(TF2list[2:2]) and
> strsplit(as.character(TF2list[2:2]), but I am getting nowhere.
>
> Matthew
>
> ______________________________________________
> R-help@r-project.org  mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

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