WebThere is a time when people need to convert data in the long format (you call it "the long-form" and what it means will be clear later) to the wide format and the vice versa. The data in real life comes in all sorts of format, but most R functions are designed for one specific form. For instance, lme4::lmer () for mixed linear modeling, ggplot2 ... Web11. You might be interested in this comparison of the reshape2 and tidyr +dplyr packages. I used the Air quality example and French Fries example to compare the usage of reshape2 melt () and dcast () functions to tidyr gather () and spread () functions combined with the dplyr group_by () and summarise () functions. – Paul Rougieux.
R : Why do I get this error message "could not find function …
WebJul 22, 2014 · 3 Answers. The successor to reshape2 is tidyr. The equivalent of melt () and dcast () are gather () and spread () respectively. The equivalent to your code would then be. library (tidyr) data (iris) dat <- gather (iris, variable, value, -Species) If you have magrittr imported you can use the pipe operator like in dplyr, i.e. write. WebThe Reshape Package. Hadley Wickham has created a comprehensive package called reshape to massage data. Both an introduction and article are available. There is even a video! Basically, you "melt" data so that each row is a unique id-variable combination. Then you "cast" the melted data into any shape you would like. Here is a very simple example. lawn mowers for sale in maine
Efficient reshaping using data.tables - cran.r-project.org
WebIntroduction. Reshape2 is a reboot of the reshape package. It's been over five years since the first release of reshape, and in that time I've learned a tremendous amount about R programming, and how to work with data in R. Reshape2 uses that knowledge to make a new package for reshaping data that is much more focused and much much faster. WebDescription. You need to tell melt which of your variables are id variables, and which are measured variables. If you only supply one of id.vars and measure.vars, melt will … WebIn its simplest form it gets back the original dataframe that was used in the melt function, however, that’s not much fun. Lets see why cast is so good. You can also pass in another argument to cast. This argument is a formula of type col_1+col_2+col_3~row_1+row_2+row_3. On the left side of the ~ operator you specify … lawn mowers for sale in lubbock tx