Displaying 20 results from an estimated 6000 matches similar to: "R interpreting numeric field as a boolean field"
2024 Jan 30
1
R interpreting numeric field as a boolean field
Hi Bert,
Below the information you asked me for:
nrow(mydataset)
[1] 2986276
########
sapply(mydataset, "class")
$`Transit Date`
[1] "POSIXct" "POSIXt"
$`Market Segment`
[1] "character"
$`N?mero de Tr?nsitos`
[1] "numeric"
$`Tar No`
[1] "character"
$`Beam Range (Operations)`
[1] "character"
$`Operational Vessel Ranges
2024 Jan 30
1
R interpreting numeric field as a boolean field
Dear friend Duncan,
Thank you so much for your kind reply. Yes, that is exactly what is
happening, there are a lot of NA values at the start, so R assumes that the
field is of type boolean. The challenge that I am facing is that I want to
read into R an Excel file that has many sheets (46 in this case) but I
wanted to combine all 46 sheets into a single dataframe (since the columns
are exactly
2024 Jan 30
1
R interpreting numeric field as a boolean field
If you are using the read_excel() function from the readxl package, then
there's an argument named col_types that lets you specify the types to use.
You could specify col_types = "numeric" to read all columns as numeric
columns. If some columns are different types, you should specify a
vector of type names, with one entry per column. Allowable names are
"skip",
2024 Jan 30
1
R interpreting numeric field as a boolean field
On 30/01/2024 11:10 a.m., Paul Bernal 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
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).
2017 Nov 17
3
Dataframe is character
Hi everybody,
Question: why are my dataframe and numeric variables a character?
I read an excel file via readxl but my dataframe is a character, and
numeric variables, eg "yi", are also a character.
My excelfile is in English numeric
Sometimes the dataframe was indeed a dataframe, but I do not know why it
did sometimes.
Thank you in advance, Roberto
PS I used "guess". The
2024 Jul 14
2
Reinterpret data without saving it to a file 1st? Check for integer stopping at 1st decimal?
A small number of columns in the data I need to work with are strings, the
rest numbers. I'm using read_excel() from the readxl package to get the
data ; right after it, the string columns are of type chr and the rest num.
I'm tasked with finding out which columns are integers. From an advice, I
tried saving the spreadsheet content into a CSV then loading that, which
works like a charm ;
2016 Nov 30
1
problem with normalizePath()
I found this as well. At our institution, our home directories are on
network shares that are mapped to local drives. The default, it appears, is
to set the location for libraries (etc) to the network share name
(//computer//share/director/a/b/user) rather than the local drive mapping
(H:/). Given the issue with dir.create(), this means it's impossible to
install packages (since it tries to
2016 Nov 18
2
problem with normalizePath()
>>>>> Evan Cortens <ecortens at mtroyal.ca>
>>>>> on Thu, 17 Nov 2016 15:51:03 -0700 writes:
> I wonder if this could be related to the issue that I
> submitted to bugzilla about two months ago? (
> https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=17159)
> That is to say, could it be that it's treating the first
>
2016 Apr 27
0
R Script Template
The subject of your email is missing. Perhaps you need to read the Posting Guide (again?) about attachments. Embedding your example directly in the body of the email is generally more accessible in archives than attaching it.
--
Sent from my phone. Please excuse my brevity.
On April 27, 2016 1:14:17 PM GMT+01:00, G.Maubach at gmx.de wrote:
>Hi All,
>
>I am addressing this post to all
2016 Apr 27
2
R Script Template
Hi All,
I am addressing this post to all who are new to R.
When learing R in the last weeks I took some notes for myself to have code snippets ready for the data analysis process. I put these snippets
together as a script template for future use. Almost all of the given command prototypes are tested. The template script contains snippets for best practices and leaves out the commands that
2016 Nov 17
2
problem with normalizePath()
The packages "readxl" and "haven" (and possibly others) no longer access files on shared network drives. The problem appears to be in the normalizePath() function. The file can be read from a local drive or by functions that don't call normalizePath(). The error thrown is
Error: path[1]="\\Hzndhhsvf2/data/OCPH/EPI/BHSDM/Group/17.xls": The system cannot find the
2017 Nov 17
0
Dataframe is character
class("dat") is different from class(dat), which is what you actually want.
On 17-11-17, P. Roberto Bakker wrote:
> Hi everybody,
>
> Question: why are my dataframe and numeric variables a character?
>
> I read an excel file via readxl but my dataframe is a character, and
> numeric variables, eg "yi", are also a character.
> My excelfile is in English
2023 Mar 31
1
Extraer texto de una columna en Excel
Muchas gracias Carlos, lo que quiero hacer es lo siguiente: extraer el
texto que hay entre textura/s hasta el punto final.
Ejemplo:
*Moderadamente profundos, bien drenados, de textura franco arenosa a franco
arcillo arenosa. Fertilidad natural media*
Lo que quiero extraer sería: *franco arenosa a franco arcillo arenosa *
Al final lo pude realizar de la siguiente manera:
df <-
2023 Mar 31
1
Extraer texto de una columna en Excel
Muchas gracias por la alternativa de utilizar la librería stringi, Carlos,
no la conocía.
On Fri, 31 Mar 2023 at 12:11, David Camilo Gomez Medina <
dcgomezme en unal.edu.co> wrote:
> Muchas gracias Carlos, lo que quiero hacer es lo siguiente: extraer el
> texto que hay entre textura/s hasta el punto final.
> Ejemplo:
> *Moderadamente profundos, bien drenados, de textura franco
2017 Jun 29
2
Change Rcode for a meta-analysis(netmeta) to use a random effects model instead of a mixed effects model
Hello,
I am writing a meta-analysis on the complication and reoperation rates after 5 treatment modalities of a distal radius fracture. I have a code to compare the complication and reoperation rates. Currently it is using a mixed effects model. Is it possible to change the code so a random effects model is used?
Thank you very much,
Jay
R code
library(meta) library(readxl) All <-
2006 Jan 17
2
How to run direct sql
How can i run and get the value from the following sql:
select avg(my_field) from my_table where which_year=''0506'' and
which_week <= 21 and my_foreign_key_id=10
cheers
--
Posted via http://www.ruby-forum.com/.
2017 Jun 29
0
Change Rcode for a meta-analysis(netmeta) to use a random effects model instead of a mixed effects model
The code in your mail in a mangled mess, since you posted in HTML. Please configure your email client to send emails in plain text.
Could you explain what exactly you mean by "Currently it is using a mixed effects model. Is it possible to change the code so a random effects model is used?"
Best,
Wolfgang
>-----Original Message-----
>From: R-help [mailto:r-help-bounces at
2024 Apr 15
2
Synthetic Control Method
Good Morning
I want to perform a synthetic control method with R. For this purpose, I
created the following code:
# Re-load packages
library(Synth)
library(readxl)
# Pfadeinstellung Excel-Blatt
excel_file_path <-
("C:\\Users\\xxxxx\\Desktop\\DATA_INVESTMENTVOLUMEN_FOR_R_WITHOUT_NA.xlsx")
# Load the Excel file
INVESTMENTVOLUME <- read_excel(excel_file_path)
#
2017 Dec 26
1
Time Series with Neural Networks
Hi,
I am would like to ask few questions.
I am trying to forecast hourly electricity prices by 24 hours ahead.
I have hourly data starting from 2015*12*18 to 2017-10-24
and I have defined the data as time series as written in the code below.
Then I am trying do neural network with 23 non-seasonal dummies and 1 seasonal dummy.
But I don?t know whether training set is enough.( Guess it is 50