search for: col_typ

...ked through the httr code and sure enough for a .csv mime time it calls readr::read_csv(). The httr::content docs suggest not using automatic parsing in a package, rather to determine mime type and parse yourself and Ben's suggestion also works if I do: junk <- readr::read_csv(r1$content, col_types = cols()) Perfect. Using httr rather than putting the url in any of the read.csv or read_csv type code allows me greater control if the request fails. Thanks again, -Roy > On Jan 2, 2018, at 9:44 AM, Ben Tupper <btupper at bigelow.org> wrote: > > Ahoy! > > That's a...

Ahoy! That's a message generated by the readr::read_table() function (or it's friends). You can suppress it a number of ways, but this should work as httr::content() will pass through arguments, like col_types = cols(), to the file reader. junk <- httr::content(r1, col_types = cols()) See more here... https://blog.rstudio.com/2016/08/05/readr-1-0-0/ <https://blog.rstudio.com/2016/08/05/readr-1-0-0/> Cheers, Ben > On Jan 2, 2018, at 12:30 PM, Roy Mendelssohn - NOAA Federal <roy.me...

...> library(readxl) > library(readxl) > library(metafor) > setwd("C:/docs/Work2/Statistic_Analyses/MetaQTcAD") > getwd() [1] "C:/docs/Work2/Statistic_Analyses/MetaQTcAD" > > dat <- read_excel("Hedges-g_QTc MA_R05.xlsx", sheet = 2, col_names=TRUE, col_types = c("guess")) > class("dat") [1] "character" > class("yi") [1] "character" > [[alternative HTML version deleted]]

Hi All: I am using httr to download files form a service, in this case a .csv file. When I use httr::content on the result, I get a message. Since this will be in a package. I want to suppress the message, but haven't figured out how to do so. The following should reproduce the result: myURL <-

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", "guess"...

...) > > library(metafor) > > setwd("C:/docs/Work2/Statistic_Analyses/MetaQTcAD") > > getwd() > [1] "C:/docs/Work2/Statistic_Analyses/MetaQTcAD" > > > > > dat <- read_excel("Hedges-g_QTc MA_R05.xlsx", sheet = 2, col_names=TRUE, > col_types = c("guess")) > > class("dat") > [1] "character" > > class("yi") > [1] "character" > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org...

...AG", "ID_del_AEG", "Descripcion", "Time_ON", "Time_OFF", "Delta_Time", "Comentario", "Es_Alarma", "Es_Ultima", "Comentarios"), col_types = cols( "SCADA" = "c", "TAG" = "c", "ID_del_AEG" = "c", "Descripcion" = "c", "Time_ON" = "c", "Time_OFF" = "c", "Del...

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

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

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