r apply data frame

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r apply data frame

Is it each ROW in the data frame, one by one, or each column, or the entire frame in one shot? What I want to do apply a function to each row in ...,Lapply and sapply: avoiding loops on lists and data frames. The regular apply() function can be used on a data frame since a data frame is a type of matrix. When you use it on the columns of a data frame, passing the number 2 for the second argument, it d,When your data is in the form of a list, and you want to perform calculations on each element of that list in R, the appropriate apply function is lapply(). , How To Use apply() in R. X is an array or a matrix if the dimension of the array is 2; MARGIN is a variable defining how the function is applied: when MARGIN=1 , it applies over rows, whereas with MARGIN=2 , it works over columns. FUN , which is the func, This is an introductory post about using apply, sapply and lapply, best ... As a commenter pointed out, if you are using a data frame the data ..., Is this what you want? Note that both tmp[, 4:16] and tmp[, 2] are using the same row i . set.seed(4542) # make it reproducible tmp ..., When I started with R, and didn't understand the apply family well, ... 1:56] <- as.data.frame(lapply(df[, 1:56], FUN = function(x) sapply(x, FUN ..., One option would be: dat[] <- lapply(dat, function(x) if(is.factor(x)) as.numeric(levels(x))[x] else x)., You can exclude the non-numeric columns/rows and deploy apply function onto the numeric rows. Consider an example: If a data frame has 4 ..., dat <- data.frame(x=c(1,2), y=c(3,4), z=c(5,6)) apply(dat[,c('x','z')], 1, ..... The downside is that I believe R will make a copy of your data table.

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r apply data frame 相關參考資料
R help - lapply with data frame - R Nabble

Is it each ROW in the data frame, one by one, or each column, or the entire frame in one shot? What I want to do apply a function to each row in&nbsp;...

http://r.789695.n4.nabble.com

The Apply Family of Functions

Lapply and sapply: avoiding loops on lists and data frames. The regular apply() function can be used on a data frame since a data frame is a type of matrix. When you use it on the columns of a data fr...

http://faculty.nps.edu

How to Traverse a List or Data Frame with R Apply Functions - dummies

When your data is in the form of a list, and you want to perform calculations on each element of that list in R, the appropriate apply function is lapply().

https://www.dummies.com

R tutorial on the Apply family of functions (article) - DataCamp

How To Use apply() in R. X is an array or a matrix if the dimension of the array is 2; MARGIN is a variable defining how the function is applied: when MARGIN=1 , it applies over rows, whereas with MA...

https://www.datacamp.com

Using apply, sapply, lapply in R | R-bloggers

This is an introductory post about using apply, sapply and lapply, best ... As a commenter pointed out, if you are using a data frame the data&nbsp;...

https://www.r-bloggers.com

R apply for two data frames - Stack Overflow

Is this what you want? Note that both tmp[, 4:16] and tmp[, 2] are using the same row i . set.seed(4542) # make it reproducible tmp&nbsp;...

https://stackoverflow.com

Apply function to every value in an R dataframe - Stack Overflow

When I started with R, and didn&#39;t understand the apply family well, ... 1:56] &lt;- as.data.frame(lapply(df[, 1:56], FUN = function(x) sapply(x, FUN&nbsp;...

https://stackoverflow.com

R Apply function on data frame columns - Stack Overflow

One option would be: dat[] &lt;- lapply(dat, function(x) if(is.factor(x)) as.numeric(levels(x))[x] else x).

https://stackoverflow.com

In R, how do I use apply() with data frames? - Stack Overflow

You can exclude the non-numeric columns/rows and deploy apply function onto the numeric rows. Consider an example: If a data frame has 4&nbsp;...

https://stackoverflow.com

Call apply-like function on each row of dataframe with multiple ...

dat &lt;- data.frame(x=c(1,2), y=c(3,4), z=c(5,6)) apply(dat[,c(&#39;x&#39;,&#39;z&#39;)], 1, ..... The downside is that I believe R will make a copy of your data table.

https://stackoverflow.com