[R] R - Reading a horizontally arranged csv file, replacing values and saving again

[Manoranjan Muthusamy]

Thanks for the short but informative answer, Bill. But still, each row has
four columns..right? Although the *NA* is replaced by a blank cell,
because of the extra comma it still is a four column row. Is there any way
to avoid/remove the extra comma when NA is replaced which will make it a
three column row?



On Mon, Oct 1, 2018 at 4:56 PM William Dunlap <wdunlap using tibco.com> wrote:

> Read the help file for write.table
>    ?write.table
> and look at the descriptions of its arguments.
>   > df <- data.frame(Text=c("Abe","Ben",NA,"David"), Age=c(19, NA, 12, 10))
>   > write.table(file=stdout(), t(df), sep=",")
>   "V1","V2","V3","V4"
>   "Text","Abe","Ben",NA,"David"
>   "Age","19",NA,"12","10"
>   > write.table(file=stdout(), t(df), quote=FALSE, na="", sep=",")
>   V1,V2,V3,V4
>   Text,Abe,Ben,,David
>   Age,19,,12,10
>
>
>
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
> On Mon, Oct 1, 2018 at 2:24 AM, Manoranjan Muthusamy <
> ranjanmano167 using gmail.com> wrote:
>
>> I have a horizontally arranged CSV file
>> <https://www.dropbox.com/s/0ukyuifvpq1olqk/samplefile.csv?dl=0> (
>> samplefile.csv) with headers are in the first column. Also, each row has a
>> different number of columns. I want to read this CSV file, replace one of
>> the cell value and save again as a CSV file with the same format as the
>> original file with exactly same number of columns and rows. It sounds like
>> a simple task, but I am struggling to find a way. I tried to do this with
>> the help of this
>> <
>> https://stackoverflow.com/questions/17288197/reading-a-csv-file-organized-horizontally
>> >
>>  and this
>> <
>> https://stackoverflow.com/questions/20308621/how-do-i-write-a-csv-file-in-r-where-my-input-is-written-to-the-file-as-row
>> >
>> posts,
>> but still, I can't get the output the way I want. Can somebody help me
>> here?
>>
>> My attempt using the answer in this post
>> <
>> https://stackoverflow.com/questions/17288197/reading-a-csv-file-organized-horizontally
>> >
>> to
>> read the CSV file (samplefile.csv) gives me the following output where
>> headers are kinda messed up and empty cells are replaced with NA values
>> which is not what I want
>>
>> aaa <- read.tcsv("samplefile.csv")
>> aaa
>>
>>      Header.1 Header.2..units. Header.3..units. Header.3..units..11
>> Some text           0.0625                0             2648962
>> <NA>           0.0625             1200             6647473        <NA>
>>           0.0625             1380                  14        <NA>
>>      0.2500             1500                  15        <NA>
>> 0.6250             1620                 NA6        <NA>
>> 1.3125             1740                 NA7        <NA>
>> 2.4375             1860                 NA8        <NA>
>> 3.5625             1980                 NA9        <NA>
>> 4.6250             2100                 NA10       <NA>
>> 5.0000             2220                 NA11       <NA>
>> 5.0000             2340                 NA12       <NA>
>> 4.6250             2460                 NA13       <NA>
>> 3.5625             2580                 NA14       <NA>
>> 2.4375             2700                 NA15       <NA>
>> 1.3125             2820                 NA16       <NA>
>> 0.6250             2940                 NA17       <NA>
>> 0.2500             3060                 NA18       <NA>
>> 0.0625             3180                 NA19       <NA>
>> 0.0000             3300                 NA20       <NA>
>> 0.0000            18000                 NA
>>
>> Also, I am not sure how to go back to original format when I save the file
>> again after a modification (for example after replacing a cell value)
>>
>> I tried saving the file again by using t (transpose) as given below
>>
>> write.csv(t(aaa), file ="samplefile_e.csv", row.names=T)
>>
>> but still, there are following issues in the saved file
>>
>>    1. messed up headers
>>    2. empty cells are replaced with NA
>>    3. when I open the file in a text editor all the values are shown as
>>    characters
>>
>> Thanks,
>> Mano
>>
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>>
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>
>

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