![]() ![]() Is there some setting I'm missing or is there a different package for viewing data in RStudio? Right now I have to save the data in either dta or sas7bdat for viewing. Generally, an AC unit with this SEER rating may cost you an average of 188 in energy costs per year. 14 SEER A 14 SEER AC unit will not cost you much in energy costs when it runs. ![]() My system is AMD TR 1900x at 4ghz with 128gb of DDR4 2733 cas 14 ram. Thus, a 15 SEER rating AC unit will serve you quite well if you are not interested in having one that has advanced heating systems and related features. Viewing and scrolling the same data in SAS with its "data on disk" and STATA with its "data in ram" is instantaneous. 5.4 Speed comparison of Stata/MP, SE, IC, and Small Stata We have written a white paper comparing the performance of Stata/MP with Stata/SE see. It's been the case for all RStudio versions for all R versions for the last 6-7 years. In comparison, Stata MP 15.1 includes solid software highlights such as simple. I can post a recording of a comparison between the 3 using some public data. Stata 15 Free Download is reliable for observable research and for board. The viewer reacts to the horizontal scrolling bar clicks with about 2-3 seconds delay and it's impossible to drag the slider horizontally at all. Right now I'm working on a small dataset of 2000 variables and about 140k obs and RStudio freezes for 10 seconds when i open the viewer by clicking on the dataset icon in the Environment. It's 15+ times slower in scrolling horizontally or vertically as compared to SAS and Stata with the same data file making the concept of the data viewer in RStudio unusable. I'm a big fan of RStudio and R in particular except for the data viewer in Rstudio. I have been using R, SAS and Stata since 2008. ![]()
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