Dear all; Many thanks for your useful comments and codes.
I tried both Rui's and Jim's codes.
Jim's codes gave an error as below:
"Error in substr(inputline, 1, begincol3 - 1) :
object 'inputline' not found"
I don't know what's wrong.
The Rui's codes worked correctly for the attached file. But I have edited
that file and removed 2 last lines from the file because I could not read
it into R.
These 2 lines were:
"
** CONCUNIT ug/m^3
** DEPUNIT g/m^2
"
When I tried to run the code for my file that has these 2 lines at the end,
it gave me this error:
"
> df1 <- read.table(text = txt_table)
Error in read.table(text = txt_table) : no lines available in input
"
The codes before the "df1 <- read.table(text = txt_table)" were run
correctly.
Sincerely
On Thu, Sep 22, 2022 at 6:58 AM javad bayat <j.bayat...@gmail.com> wrote:
> Dear all;
> I apologise, I didn't know that I have to cc the list.
> Thank you Mr Rui for reminding me.
> Let me clarify more.
> I have no knowledge of the FORTRAN language. The text file that has been
> attached is a model's output file and I know that the format is in FORTRAN.
> I want to write a text file exactly similar to the attached text file using
> R programming.
> The steps below explain my goal:
> 1- Read the text file without the first 8 and last 2 rows as a dataframe.
> Maybe I have removed the last 2 lines, but at the end it had 2 lines
> similar the first 8 lines which starts with asterisk.
> 2- Double the 3rd column values (or multiply by specific number).
> 3- Insert the removed first 8 lines of the original text file as header in
> the dataframe.
> 4- Insert the removed last 2 lines of the original text file at the end of
> dataframe.
> 5- Write the dataframe as a new text file exactly similar to the original
> text file.
>
> I have used excel but when I save it as text file, the format changes and
> is not similar to the attached text file.
> I will try all your codes in a few hours, cause I am out of office.
> Sincerely yours.
>
>
>
> On Thu, 22 Sep 2022, 04:20 Richard O'Keefe, <rao...@gmail.com> wrote:
>
>> Oh, so you want to WRITE a file *like* that.
>> Use ?sprintf.
>> (3(1X,F13.5),3(1X,F8.2),3X,A5,2X,A8,2X,A5,5X,A8,2X,I8)
>>
>> Fortran sprintf
>> 1X a space
>> 3X 3 spaces
>> F13.5 %13.5f
>> F8.2 %8.2f
>> A5 %5s
>> A8 %8s
>> I8 %8d
>> 3(...) the translation of ... written 3 times
>>
>> We can simplify 1X,F13.5 to F14.5
>> Here's the sprintf() equivalent of the Fortran format,
>> except you'll need to change the dots to spaces.
>>
>> "%14.5f%14.5f%14.5f%9.2f%9.2f%9.2f...%5s..%8s..%5s.....%8s%10d\n
>>
>> On Thu, 22 Sept 2022 at 04:17, javad bayat <j.bayat...@gmail.com> wrote:
>>
>>> Dear Rasmus;
>>> I have no knowledge of the FORTRAN language. The text file that has been
>>> attached is a model's output file and I know that the format is in
>>> FORTRAN.
>>> I want to write a text file exactly similar to the attached text file
>>> using
>>> R programming.
>>> The steps below explain my goal:
>>> 1- Read the text file without the first 8 and last 2 rows as a dataframe.
>>> 2- Double the 3rd column values (or multiply by specific number).
>>> 3- Insert the removed first 8 rows of the original text file as header in
>>> the dataframe.
>>> 4- Insert the removed last 2 rows of the original text file at the end of
>>> dataframe.
>>> 5- Write the dataframe as a new text file exactly similar to the original
>>> text file.
>>>
>>> I have used excel but when I save it as text file, the format changes and
>>> is not similar to the attached text file.
>>> Sincerely
>>>
>>> On Wed, 21 Sep 2022, 18:17 Rasmus Liland, <j...@posteo.no> wrote:
>>>
>>> > Dear Javad,
>>> >
>>> > Perhaps you were looking to read the
>>> > table in Air.txt (is this Fortran
>>> > format?) into R?
>>> >
>>> > b <- readLines("Air.txt") # The text MIME attachment w/Mailman
>>> > footer ...
>>> > b <- b[1:(which(b=="")-1)] # Remove the odd Mailman footer (at
>>> > end of df)
>>> > idx <- max(grep("^\\*", b))+1 # Start of df after header uline
>>> > header <- tolower(strsplit(gsub(" +", "_", gsub("\\*", "",
>>> > b[idx-2])), "_")[[1]])
>>> > b <- read.table(text=b[-(1:idx)], header=F)
>>> > colnames(b) <- header[header!=""]
>>> > b <- b[,sapply(b, \(i) length(unique(i)))>1] # Remove constant
>>> > cols
>>> >
>>> > str(b)
>>> >
>>> > 'data.frame': 31324 obs. of 6 variables:
>>> > $ x : num 583500 584000 584500 585000 585500 ...
>>> > $ y : num 3018700 3018700 3018700 3018700 3018700
>>> ...
>>> > $ average conc: num 32.8 33.1 33.4 33.5 33.6 ...
>>> > $ zelev : num 0 0 0 0 0 0 0 0 0 0 ...
>>> > $ zhill : num 0 0 0 0 0 0 0 0 0 0 ...
>>> > $ date(conc) : int 16101706 16101706 16101706 16101706
>>> 16101706
>>> > ...
>>> >
>>> > Best,
>>> > Rasmus
>>> >
>>> > ______________________________________________
>>> > 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 guide
>>> > http://www.R-project.org/posting-guide.html
>>> > and provide commented, minimal, self-contained, reproducible code.
>>> >
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> 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 guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
--
Best Regards
Javad Bayat
M.Sc. Environment Engineering
Alternative Mail: bayat...@yahoo.com
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