R rename column how to#
R rename column code#

R rename column how to#

Iron Python scripting may be better, but someone else would have to say how to do it. I don't think that renaming columns is best done by TERR, as that involves shipping the entire dataset to and from TERR. However, it looks like you will run into trouble if the name of the input parameter is the same as the name of an output parameter you may have better luck if you follow the 'names(data) <- someNewNames' with the line 'newData <- data' and make 'newData' the output parameter. The connection to Spotfire can be confusing and I am not an expert on it. The only function that change their arguments are those that are on the left side of an assignment, as in your second exampleĪll of the above was about how R or TERR works. Overwrites the old 'data' with the new version produced by rename. Functions in R (and TERR) generally do not change their arguments - the return value of the function contains the modified data and you can assign that to a name. Your first question was why plyr::rename(data, c(.)) did not change data's names.

I feel like I am super close and just need to get the parameters worked out. where table2 is an output parameter that overwrites my Downtime2 table (based on the idea that maybe the first one didn't work because I didn't have an output parameter). I'm still trying to completely understand how to take something that works in R and make it work in TERR. I am fairly certain I am using the parameters incorrectly. The input parameter table1 is setup as a table and when I configure it, the input handler is Columns using all columns, which seems wrong but I don't know what else to change it to. Names(table1) <- sub('^EVENT_TYPE$', 'EVENT', names(table1))

R rename column code#

Using names works just fine in R studio, but when I try to use it in TERR (using code below, with table1 as an input parameter), it does not work. I wasn't sure if it was a compatibility issue, but there are several ways to rename columns, so I abandoned this and went on to the second piece of code. But we have to load the dplyr library in order to use this method. At a time it will change single or multiple column names.

The operator > is used to load the renamed column names to the dataframe. I do know that plyr was created with R 3.3.2, and I have 3.3.1. rename () is the method available in the dplyr package, which is used to change the particular columns present in the dataframe. However, when I run it in R Studio, you can see in the screen shots below, that it initially looks like the rename worked, but when I call the table again, the old column name is present. Rename requires the plyr package, which I have installed in TERR and R studio. Names(Downtime2) <- sub('^EVENT_TYPE$', 'EVENT', names(Downtime2)) Rename(Downtime2, c('DURATION' = 'TIME')) and

I have two pieces of code that work/sort of work in R studio : The change column names transformation is painfully slow, especially with large files, and I was hoping to do this faster with TERR. before = where ( is.Hi, I am trying to create a TERR data function to rename columns. after = where ( is.character ) ) #> # A tibble: 1 × 4 #> b d a c #> #> 1 a a 1 1 df2 %>% relocate ( where ( is.numeric ). after refers to multiple variables they will be # moved to be immediately before/after the selected variables. after = last_col ( ) ) #> # A tibble: 1 × 6 #> d e f a b c #> #> 1 a a a 1 1 1 # Or with any other select helper df %>% relocate ( any_of ( c ( 'a', 'e', 'i', 'o', 'u' ) ) ) #> # A tibble: 1 × 6 #> a e b c d f #> #> 1 1 a 1 1 a a # When. after = last_col ( ) ) #> # A tibble: 1 × 6 #> b c d e f a #> #> 1 1 1 a a a 1 # relocated columns can change name df %>% relocate (ff = f ) #> # A tibble: 1 × 6 #> ff a b c d e #> #> 1 a 1 1 1 a a # Can also select variables based on their type df %>% relocate ( where ( is.character ) ) #> # A tibble: 1 × 6 #> d e f a b c #> #> 1 a a a 1 1 1 df %>% relocate ( where ( is.numeric ). before = b ) #> # A tibble: 1 × 6 #> a f b c d e #> #> 1 1 a 1 1 a a df %>% relocate ( a.

after = c ) #> # A tibble: 1 × 6 #> b c a d e f #> #> 1 1 1 1 a a a df %>% relocate ( f. Df % relocate ( f ) #> # A tibble: 1 × 6 #> f a b c d e #> #> 1 a 1 1 1 a a df %>% relocate ( a.