Displaying 6 results from an estimated 6 matches for "readlx".
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readl
2024 Jan 30
1
R interpreting numeric field as a boolean field
...wrote:
> Dear friends,
>
> Hope you are doing well. I am currently using R version 4.3.2, and I have a
> .xlsx file that has 46 sheets on it. I basically combined all 46 sheets
> and read them as a single dataframe in R using package rio.
>
> I read a solution using package readlx, as suggested in a StackOverflow
> discussion as follows:
> df <- read_excel(path = filepath, sheet = sheet_name, guess_max = 100000).
> Now, when you have so many sheets (46 in my case) in an Excel file, the rio
> methodology is more practical.
>
> This is what I did:
> pa...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...gt;
> > Hope you are doing well. I am currently using R version 4.3.2, and I
> have a
> > .xlsx file that has 46 sheets on it. I basically combined all 46 sheets
> > and read them as a single dataframe in R using package rio.
> >
> > I read a solution using package readlx, as suggested in a StackOverflow
> > discussion as follows:
> > df <- read_excel(path = filepath, sheet = sheet_name, guess_max =
> 100000).
> > Now, when you have so many sheets (46 in my case) in an Excel file, the
> rio
> > methodology is more practical.
> >...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...well. I am currently using R version 4.3.2,
> and I have a
> > .xlsx file that has 46 sheets on it. I basically combined? all 46
> sheets
> > and read them as a single dataframe in R using package rio.
> >
> > I read a solution using package readlx, as suggested in a
> StackOverflow
> > discussion as follows:
> > df <- read_excel(path = filepath, sheet = sheet_name, guess_max =
> 100000).
> > Now, when you have so many sheets (46 in my case) in an Excel
> file, the rio
> > me...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...using R version 4.3.2, and I
>> > have a
>> > > .xlsx file that has 46 sheets on it. I basically combined all 46
>> sheets
>> > > and read them as a single dataframe in R using package rio.
>> > >
>> > > I read a solution using package readlx, as suggested in a
>> StackOverflow
>> > > discussion as follows:
>> > > df <- read_excel(path = filepath, sheet = sheet_name, guess_max =
>> > 100000).
>> > > Now, when you have so many sheets (46 in my case) in an Excel file,
>> the
>...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...nd I
>>> > have a
>>> > > .xlsx file that has 46 sheets on it. I basically combined all 46
>>> sheets
>>> > > and read them as a single dataframe in R using package rio.
>>> > >
>>> > > I read a solution using package readlx, as suggested in a
>>> StackOverflow
>>> > > discussion as follows:
>>> > > df <- read_excel(path = filepath, sheet = sheet_name, guess_max =
>>> > 100000).
>>> > > Now, when you have so many sheets (46 in my case) in an Excel fil...
2024 Jan 30
1
R interpreting numeric field as a boolean field
Dear friends,
Hope you are doing well. I am currently using R version 4.3.2, and I have a
.xlsx file that has 46 sheets on it. I basically combined all 46 sheets
and read them as a single dataframe in R using package rio.
I read a solution using package readlx, as suggested in a StackOverflow
discussion as follows:
df <- read_excel(path = filepath, sheet = sheet_name, guess_max = 100000).
Now, when you have so many sheets (46 in my case) in an Excel file, the rio
methodology is more practical.
This is what I did:
path =
"C:/Users/myuser/Document...