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Error Could Not Find Function Rename.vars

However, if you notice a package is having problems finding the correct function, you should contact the package maintainer. sample_n(flights, 10) sample_frac(flights, 0.01) Use replace = TRUE to perform a bootstrap sample. Thanks. # Test Function myfunc <-function(var){ d = c(1,2,3,4,5) dts = seq(as.Date("2011-01-01"),by="month",length.out=length(d)) assign(paste(var,".df",sep=""), cbind(dts, d)) names(get(paste(var,".df",sep=""))) <- c("Dates","Data") } # Call Function myfunc("X") # Error The data comes from the US Bureau of Transportation Statistics, and is documented in ?nycflights13 library(nycflights13) dim(flights) head(flights) dplyr can work with data frames as is, but if you're dealing with check over here

summarise() is powerful and easy to understand, as described in more detail below. attach(mtcars) search() [1] ".GlobalEnv" "mtcars" "package:reshape" [4] "package:plyr" "package:stats" "package:graphics" [7] "package:grDevices" "package:utils" "package:datasets" [10] "package:methods" "Autoloads" "package:base" require(MASS) Loading required package: MASS search() [1] ".GlobalEnv" "package:MASS" "mtcars" [4] "package:reshape" "package:plyr" It is not completely clear what you want to accomplish, but there is probably a better way to accomplish it. It takes care of generating the SQL for you so that you can avoid the cognitive challenge of constantly switching between languages. view publisher site

When an object (function, data, etc.) is called from the command line, R first looks in the global environment, then proceeds up the search path until the object is found. benchmark-baseball: see how dplyr compares to other tools for data manipulation on a realistic use case. For example, we could use these to find the number of planes and the number of flights that go to each possible destination: destinations <- group_by(flights, dest) summarise(destinations, planes = n_distinct(tailnum), Parents disagree on type of music for toddler's listening Crazy 8s Code Golf Does Precursor Golem let me target all golems in the graveyard?

For example, with data table you can do a mutate and a select in a single step. For example: plyr::rename function (x, replace) { old_names Here you can see that the function definition is returned, and there is a note indicating that the environment is the namespace of That's more important than the command. The system returned: (22) Invalid argument The remote host or network may be down.

more stack exchange communities company blog Stack Exchange Inbox Reputation and Badges sign up log in tour help Tour Start here for a quick overview of the site Help Center Detailed It provides simple "verbs", functions that correspond to the most common data manipulation tasks, to help you translate those thoughts into code. What's the correct term to describe baby food? http://stackoverflow.com/questions/21502465/replacement-for-rename-in-dplyr There are many useful examples of such functions in base R like min(), max(), mean(), sum(), sd(), median(), and IQR().

Is it bad form to write mysterious proofs without explaining what one intends to do? Now recode Grade from 5 to 6: # Recode grade 5 to grade 6 SchoolData$Grade<-recode(SchoolData$Grade,"'Grade Five'=5") To set recode multiple values use c() # Recode grade 5 to grade 6 SchoolData$Grade<-recode(SchoolData$Grade,"c(1,2,3,4,5)='Five For example: search() [1] ".GlobalEnv" "package:reshape" "package:plyr" [4] "package:stats" "package:graphics" "package:grDevices" [7] "package:utils" "package:datasets" "package:methods" [10] "Autoloads" "package:base" The order indicates the objects are searched for. Technical Notes When a package is loaded via library or require, it is automatically attached to the search path (typically in position 2).

Sometimes you don't want to recode data but instead just want another column containing the same data. Thank you for doing this write up and showing the broader range of options for how we could recode our data! In it, you'll get: The week's top questions and answers Important community announcements Questions that need answers see an example newsletter Linked 1 rename function in dplyr does not work Related The first argument is the name of the data frame.

Please try the request again. http://strobelfilms.com/error-could/error-could-not-find-function-plot-table.html Randomly sample rows with sample_n() and sample_frac() You can use sample_n() and sample_frac() to take a random sample of rows: use sample_n() for a fixed number and sample_frac() for a fixed Reply ↓ [email protected] Post authorJune 12, 2016 at 3:48 pm Happy to help! Spotting the Problem Masking occurs when two or more packages have objects (such as functions) with the same name.

For example, let's say you want to copy the data from Grade into NewGrade but only where SchoolType is "Elementary". If you're looking for information on the recode() command in the package car, scroll to the bottom. window-functions: a window function is a variation on an aggregation function. this content If you want to look at or use an internal object, you can use the triple colon operator, ":::".

The key difference between mutate() and transform() is that mutate allows you to refer to columns that you've just created: mutate(flights, gain = arr_delay - dep_delay, gain_per_hour = gain / (air_time Preferable is to create and modify the data object fully within the function then return that object (and let the caller of the function worry about assigning it). In the following example, we split the complete dataset into individual planes and then summarise each plane by counting the number of flights (count = n()) and computing the average distance

require(plyr) Loading required package: plyr require(reshape) Loading required package: reshape Attaching package: 'reshape' The following object(s) are masked from 'package:plyr': rename, round_any Dealing with Masking Most of the time, masking is

The result is a new data frame Together these properties make it easy to chain together multiple simple steps to achieve a complex result. select() allows you to rapidly zoom in on a useful subset using operations that usually only work on numeric variable positions: # Select columns by name select(flights, year, month, day) # by_tailnum <- group_by(flights, tailnum) delay <- summarise(by_tailnum, count = n(), dist = mean(distance, na.rm = TRUE), delay = mean(arr_delay, na.rm = TRUE)) delay <- filter(delay, count > 20, dist < 2000) This document introduces you to dplyr's basic set of tools, and shows you how to apply them to data frames.

With masked object(s), the problem was the wrong object was used. You either have to do it step-by-step: a1 <- group_by(flights, year, month, day) a2 <- select(a1, arr_delay, dep_delay) a3 <- summarise(a2, arr = mean(arr_delay, na.rm = TRUE), dep = mean(dep_delay, na.rm Lo tells recode to start the range at the lowest value. http://strobelfilms.com/error-could/error-could-not-find-function-read-dbf.html Going back to our rename example: get(x = "rename", pos = "package:plyr") function (x, replace) { old_names It is more cumbersome, but a perfectly clear way to clarify where to get

JM Related posts: Subset Data in R R Data Manipulation Aggregate Data in R Using data.table 9 thoughts on “Recode Data in R” Sierra Bravo May 7, 2013 at 9:30 am SchoolData$Grade[is.na(SchoolData$Grade)] <- "Missing Grade" The third example shows how to replace data based on more than one criteria. If you have any thoughts regarding this R code please post in the comments. Theorems demoted back to conjectures Word for fake religious people Are zipped EXE files harmless for Linux servers?

I have recently started using dplyr, and was wondering if there is an easy way to rename variables using a function from dplyr, that is as easy to use as to Personally, I don't think of it as a problem--you get used to new things quickly especially when it means a significant speedup in your data processing. –vergilcw Feb 3 '14 at