It also can send the queries and then receive its results on R. Therefore, you can complete data analysis with Teradata only on R. dplyr functions will manipulate each "group" separately and then combine the results. expand() generates all combination of variables found in a dataset. Useful for comparing values behind of or ahead of the current values. Re: dplyr complete.cases(.) Your expected output is the same as the one you get with simply filtering. Which is the practical difference between a server and a web server? Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. What would be a proper way to retract emails sent to professors asking for help? Can you modify your answer and i will accept it? If the data is already grouped, count() adds an additional group that is removed afterwards. Dplyr 0.5.0 and lubridate 1.6.0. Can the Battle Master fighter's Precision Attack maneuver be used on a melee spell attack? It makes it possible to build SQL for Teradata Database in the same way as manipulating data frames with the dplyr package. What versions are you using? It's a complete tutorial on data manipulation and data wrangling with R. Turns implicit missing values into explicit missing values. Making statements based on opinion; back them up with references or personal experience. Source: R/lead-lag.R. Data Manipulation using dplyr. Relative frequencies / proportions with dplyr, Filtering dates for time series plot using dplyr. By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. 6.1 Summary. 607k 22 22 gold badges 340 340 silver badges 443 443 bronze badges. What am I missing? # If you want to look more rows behind or ahead, use `n`, # If you want to define a value for non-existing rows, use `default`, # If data are not already ordered, use `order_by`. There are two convenient functions, one is called ‘ complete ’ from ‘ tidyr ’ package and another is ‘seq.Date’ function from base R. Combining these two, we can take care of this task elegantly. Did medieval people wear collars with a castellated hem? dplyr is a part of the tidyverse, an ecosystem of packages designed with common APIs and a shared philosophy. The lubridate package provides a number of useful functions for reading, manipulating, and doing arithmetic with dates in R. It provides the functions parse_date_time () and parse_date_time2 (), which can be used to quickly convert strings to date-time objects. :) I thought you wanted one row and were getting 3, when in fact it was the opposite. So, there are now two entries for the third month and I would like to keep only the most recent entry for that month. Running your code, I get only the last row of output This is with dplyr 0.5.0 and lubridate 1.6.0. row index in R; drop rows based on row name in R To subscribe to this RSS feed, copy and paste this URL into your RSS reader. x: Vector of values. Working with dates and time in R using the lubridate package Posted on Wednesday, January 11th, 2017 at 3:25 pm. To create a sequence of dates we can leverage the seq() function. Packages in R are basically sets of additional functions that let you do more stuff. Here’s how it would look like. We can do this using base R. i1 <- with(dat, ave(as.integer(as.Date(date)), obs, format(as.Date(date), "%m"), FUN = function(x) x== max(x)) & obs=="A") dat[i1,] # obs date num #1 A 2017-01-01 1000 #3 A 2017-02-01 2000 #7 A 2017-03-02 3500 share | improve this answer | follow | answered Apr 1 '17 at 5:09. akrun akrun. As with numeric vectors, you have to specify at least three of the four arguments (from, to, by, and length.out). 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