I can see the entire data frame in the console. Is there any possible way or any function to view data frame in the R-Console (Editing similar to that of Excel) so that I should be able to edit the data manually?
S3 method for class 'data.frame'
You can use:
edit(name, factor.mode = c("character", "numeric"),
edit.row.names = any(row.names(name) != 1:nrow(name)), ...)
Example:
edit(your_dataframe)
You can go through in detail with the help of this link - Here
You really can use edit() or view().
But maybe, if you dataset isn't big enough, if you prefer to use Excel, you can use this function below:
library(xlsx)
view.excel<-function(inputDF,nrows=5000){
if (class(inputDF)!="data.frame"){
stop("ERROR: <inputDF> class is not \"data.frame\"")
}
if(nrow(inputDF)>5000 & nrows!=-1){
inputDF=inputDF[1:nrows,]
}
tempPath=tempfile(fileext='.xlsx')
write.xlsx(inputDF,tempPath)
system(paste0('open ',tempPath))
return(invisible(tempPath))
}
I've defined this function to help me with some tasks in R...
Basically, you only need to pass a DataFrame to the function as a parameter. The function by default display a maximum of 5000 rows (you can set the parameter nrows = -1 to view all the rows, but it may be slow).
This function opens your DataFrame in Excel and returns the path where your temporary view was saved. If you wanna save and load your temporary view, after changing something directly with Excel, you can load again your data frame with:
# Open a view in excel
tempPath <- view.excel(initialDF, nrows=-1)
# Load the file of the Excel View in the new DataFrame modifiedDF
modifiedDF <- read.xlsx(tempPath)
This function may works well in Linux, Windows or Mac.
You can view the dataframe with View():
View(df)
As #David Arenburg says, you can also open your dataframe in an editable view, but be warned this is slow:
edit(df)
For updates/changes to affect the dataframe use:
df <- edit(df)
Since a lot of people are using (and developing in) RStudio and Shiny nowadays, things have become far more convenient for R users.
You should look at the rhandsontable package.
There is also very nice Shiny implementation of rhandsontable, from a blog I stumbled upon: https://stla.github.io/stlapblog/posts/shiny_editTable.html. It's not using the console, but it is anyway super slick:
(A few years later) This may be worth trying if you use RStudio: It seems to support all data types. I did not use it extensively but helped me ocassionally:
https://cran.r-project.org/web/packages/editData/README.html
It shows an editing dialog by default. If your dataframe is big you can browse to http://127.0.0.1:7212 while the dialog is being shown, to get a resizable editing view.
You can view and edit a dataframe using with the fix() function:
# Open the mtcars dataframe for editing:
fix(mtcars)
# Edit and close.
# This produces the same result:
mtcars <- edit(mtcars)
# But it is a longer command to write.
Related
How can I get the complete data frame when I use 'filter' function and rstudio just shows me 10 rows but I can read (for example) there's 377 more rows.
Here's the code as an example:
> nameofdataframe%>%
+filter( year == 2021)
Thank you in advance!
Kind regards,
Helena.
In RStudio, View(nameofdataframe) will open another tab where you can view the full results. Clicking on nameofdataframe in the Environment window will also do the same.
Go back to base R:
as.data.frame(nameofdataframe)
The problem is that the tidyverse uses tibbles instead of data.frame, and the print method for tibble is limited to those 10 rows. Change the class of your table to data.frame and print it and you should get the "standard" display.
This is my first post so I will try to be specific.
I have imported few .csv files and I am trying to combine them together.
When I am inspecting each individual data frame, as I import them, I can open them in RStudio View window and data looks correct.
However once I combine the data frames together using Master<-do.call("rbind", list(DF1,DF2,DF3,DF4)) and try try to view the Master table i get following massage:
Error in if (nchar(col_min_c) >= 16 || grepl("e", col_min_c, fixed =
TRUE) || : missing value where TRUE/FALSE needed
However, when I view all the original data frames I am able to see them with no problem.
If I use utils::View(Master) I am able to see the data frame.
So I am not sure where this issue comes from.
These are the package I am running:
require(data.table)
require(dplyr)
require(sqldf)
require(ggplot2)
require(stringr)
require(reshape2)
require(bit64)
Thanks for any help you can provide
I was able to get around this issue by transforming my table via:
Master<-sqldf("SELECT * FROM 'Master'")
So I hope this helps others in the case they come across a similar issue in the future.
I was able to view the file if I removed NA values from a long numeric column (19 char) on the far left hand side of the table (column 1)
I am creating a way to read in SPSS labels into R. Using library(sjPlot), view_spss(df, useViewer = FALSE) I can create a local html page such as http://localhost:11773/session/file1e0c67270a5.html that shows a nice table with columns for the variable names and the labels I am looking for.
Now I want to use rvest to scrape it but when I start with a command such as page <- rvest::html("http://localhost:11773/session/file1e0c67270a5.html") R just seems to get stuck.
I've tried searching for "connect with local host" but I can't seem to find any questions or answers related to the R package.
This doesn't really answer your specific question as I think the reason is that R spins up a non-persistent process to serve that HTML view of your data. But your approach seems quite round-a-bout to just get to variable labels. This is a general way that works quite well:
library(foreign)
d <- read.spss("your_data.sav", use.value.labels=TRUE, to.data.frame=FALSE)
var_labels <- attr(d, "variable.labels")
## To access the label of a variable named 'var_name':
var_labels[["var_name"]]
Where d results in a list of data, and var_labels is a named list of labels keyed by variable/column.
If you want to get variable and/or value label of SPSS-imported data, you can use get_val_labels and get_var_labels of the sjmisc-package.
See examples here. Both functions accept either a single variable (vector) or a data frame and return the associated variable and value labels. See also this blog post.
The sjmisc-Package supports data frames imported both with the haven- or foreign-package.
In RStudio when you use the View() function, it only allows you to see up to 1000 rows. Is there any way to see more than that. I know it is possible to subset the viewing and see rows 1000-2000 for example, but I would want to be able to see 1-2000. The best I could find was a comment about a year ago saying that it wasn't possible at the time but they were planning on fixing this.
Here's an example (note: I'm guessing you will have to run this in RStudio).
rstudio <- (1:2000)
View(rstudio)
The View command is specifically for the little helper window. You can easily view the full value in the actual console window. If you want the same layout, use cbind.
cbind(rstudio)
which in fact will even give you the same nice row-numbering setup
And if that's too cumbersome
pview <- function(x, rows=100) {
if (length(x) > rows)
print(cbind(x))
else
print(cbind(head(x, rows/2)))
print(cbind(tail(x, rows/2)))
}
pview(rstudio, 1998)
you will need to clean that up to get the row names to lineup
You can change this setting, for instance:
options(max.print=5000)
I wish to read data into R from SAS data sets in Windows. The read.ssd function allows me to do so, however, it seems to have an issue when I try to import a SAS data set that has any non-alphabetic symbols in its name. For example, I can import table.sas7bdat using the following:
directory <- "C:/sas data sets"
sashome <- "/Program Files/SAS/SAS 9.1"
table.df <- read.ssd(directory, "table", sascmd = file.path(sashome, "sas.exe"))
but I can't do the same for a table SAS data set named table1.sas7bdat. It returns an error:
Error in file.symlink(oldPath, linkPath) :
symbolic links are not supported on this version of Windows
Given that I do not have the option to rename these data sets, is there a way to read a SAS data set that has non-alphabetic symbols in its name in to R?
Looking about, it looks like others have your problem as well. Perhaps it's just a bug.
Anyway, try the suggestion from this (old) R help post, posted by the venerable Dan Nordlund who's pretty good at this stuff - and also active on SASL (sasl#listserv.uga.edu) if you want to try cross-posting your question there.
https://stat.ethz.ch/pipermail/r-help/2008-December/181616.html
Also, you might consider the transport method if you don't mind 8 character long variable names.
Use:
directory <- "C:/sas data sets"
sashome <- "/Program Files/SAS/SAS 9.1"
table.df <- read.ssd(library=directory, mem="table1", formats=F,
sasprog=file.path(sashome, "sas.exe"))