Is there a good browser/viewer to see an R dataset (.rda file) I want to browse a .rda file (R dataset). I know about the View(datasetname) command. The default R.app that comes for Mac does not have a very good browser for data (it opens a window in X11). I like the RStudio data browser that opens with the View command. However, it shows only 1000 rows and omits the remaining. (UPDATE: RStudio viewer now shows all rows) Is there a good browser that will show all rows in the data set and that you like/use.
 A: You can get View() to display all of your data in RStudio.  The trick is that you need to use the command syntax utils::View() instead.  (For slightly more information, see my answer on Stack Overflow here: R View() does not display all columns of data frame.)
A: Recently I started to keep the data in a sqlite database, access the database directly from R using sqldf and view / edit with a database tool named tksqlite
Another option is to export the data and view / edit with Google Refine
A: I recommend highly the R Package googleVis, R bindings to the Google Visualization API. The Package authors are Markus Gesmann and Diego de Castillo. 
The data frame viewer in googleVis is astonishingly simple to use.
These guys have done great work because googleVis is straightforward to use, though the Google Visualization API is not.
googleVis is available from CRAN.
The function in googleVis for rendering a data frame as a styled HTML table is gvisTable().
Calling this function, passing in an R data frame render R data frames as interactive HTML tables in a form that's both dashboard-quality and functional.
A few features of googleVis/gvisTable i have found particularly good:


*

*to maintain responsiveness as the number of rows increases,
user-specified parameter values for pagination (using arrow
buttons); if you don't want pagination, you can access rows outside
of the view via a scroll bar on the right hand side of the table,
according to parameters specified in the gvisTable() function call

*column-wise sort by clicking on the column header

*the gvisTable call returns HTML, so it's portable, and though i haven't used this feature, the entire table can be styled the way that any HTML table is styled, with CSS (first assigning classes to the relevant selector) 
To use, just import the googleVis Package, call gvisTable() passing in your data frame and bind that result (which is a gvis object) to a variable; then call plot on that gvis instance:
library(googleVis)

gvt = gvisTable(DF)

plot(gvt)

You can also pass in a number of parameters, though you do this via a single argument to gvisTable, options, which is an R list, e.g., 
gvt = gvisTable(DF, options=list(page='enable', height=300))

Of course, you can use your own CSS to get any fine-grained styling you wish.
When plot is called on a gvis object, a browser window will open and the table will be will be loaded using Flash

A: Here are a few basic options, but like you, I can't say that I'm entirely happy with my current system.
Avoid using the viewer:


*

*I.e., Use the command line tools to browse the data

*head and tail for showing initial and final rows

*str for an overview of variable types

*dplyr::glimpse() for an overview of variable types  of all columns

*basic extraction tools like [,1:5] to show the first five colums

*Use a pager to display and navigate the data (e.g., page(foo, "print")) possibly
in conjunction with some variable extraction tools. This works fairly well on Linux, which uses less. I'm not sure how it goes on Windows or Mac.


Export to spreadsheet software:


*

*I quite like browsing data in Excel when it's set up as a table. 
  It's easy to sort, filter, and highlight. See here for the function that I use to open a data.frame in a spreadsheet.

A: RStudio (RStudio.org) has a built-in data frame viewer that's pretty good.  Luckily it's read-only.  RStudio is very easy to install once you've installed a recent version of R.  If using Linux first install the r-base package.
A: Here are some other thoughts (although I am always reluctant to leave Emacs):


*

*Deducer (with JGR) allows to view a data.frame with a combined variable/data view (à la SPSS).

*J Fox's Rcmdr also offers edit/viewing facilities, although in an X11 environment.

*J Verzani's Poor Man Gui (pmg) only allows for quick preview for data.frame and other R objects. Don't know much about Rattle capabilities.


Below are two screenshots when viewing a 704 by 348 data.frame (loaded as an RData) with Deducer (top) and Rcmdr (bottom).


A: The datatable function from DT package creates HTML tables. You can nicely view wide tables. 
