Lapply in r - 1 Overview. R provides a variety of functionality for parallelization, including threaded operations (linear algebra), parallel for loops and lapply-type statements, and parallelization across multiple machines. This material focuses on R’s future package, a flexible and powerful approach to parallelization in R.

 
I'd like to run four multilevel models (using lmer) simultaneously using lapply. A simple example using lm() with one dependent variable and a list of independent variables would be:. Not your typical reincarnation story manga

Stack Overflow Public questions & answers; Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Talent Build your employer brand ; Advertising Reach developers & technologists worldwide; Labs The future of collective knowledge sharing; About the companyUnfortunately, lapply only gives you the elements of the vector you pass it. The usual work-around is to pass it the names or indices of the vector instead of the vector itself. But note that you can always pass in extra arguments to the function, so the following works:This is an introductory post about using apply, sapply and lapply, best suited for people relatively new to R or unfamiliar with these functions. There is a part 2 coming that will …May 29, 2012 · In most simple words: lapply () applies a given function for each element in a list, so there will be several function calls. do.call () applies a given function to the list as a whole, so there is only one function call. The best way to learn is to play around with the function examples in the R documentation. Share. But the cost of using map () or lapply () is driven by what you're mapping, not the overhead of performing the loop. The microbenchmark below suggests that the cost of map () compared to lapply () is around 40 ns per element, which seems unlikely to materially impact most R code. lapply = lapply(x, f), R has some functions which implement looping in a compact form to make your life easier. lapply (): Loop over a list and evaluate a function on each element. sapply (): Same as lapply but try to simplify the result. apply (): Apply a function over the margins of an array. tapply (): Apply a function over subsets of a vector. R lapply(): Change all columns within all data frames in a list to numeric, then convert all values to percentages. 2. Assigning row_number() as a column value over a list of dataframes in R. 0. Apply as.numeric on a list of data.frames. Hot Network QuestionsR lapply statement with index [duplicate] Ask Question Asked 11 years, 6 months ago. Modified 11 years, 6 months ago. Viewed 9k times Part of R Language Collective 3 This question already has answers here: ...lapply(a, print) Things get printed twice when entered interactively because they are printed inside the lapply, and then the return value of lapply is printed. Share. Improve this answer. Follow answered Apr 30, 2012 at 19:37. Brian Diggs Brian Diggs. 58.2k 13 13 ...Jan 4, 2024 · In this example, the lapply function is used to apply the sum function to each element of the numbers list. The resulting result list contains the sums of the elements in each sublist. Unlike sapply, lapply always returns a list, making it suitable when you want to maintain the structure of the input list. The lapply function is a powerful tool ... Jan 12, 2013 · Second, the return value of lapply is ignored. Either of these suggest that an explicit loop is best. Either of these suggest that an explicit loop is best. Less ugly, and almost stolen from @thelatemail: lapply / replace. lapply(seq_along(p), function(i) replace(p[[i]], q[[i]], Inf)) for. for(i in seq_along(p)) p[[i]][ q[[i]] ] <- Inf replace / melt. If each component of p has the same length (as the example in the question does) we can turn p into a data.frame which opens up additional possibilities. This returns a data frame:Apr 19, 2013 · You can use lapply () to iterate over anything: a list, a dataframe (which is just a special type of list) a vector of numbers, a vector of characters…..whatever. In our case, the variables of interest are stored in columns 3 through 8 of our data frame. So we can use lapply () to go through the numbers 3 through 8 and do the same thing each ... Mar 18, 2019 · Learn the differences and uses of four built-in R functions that apply a function to different dimensions of matrices, data frames, lists, or vectors. See examples of apply, lapply, sapply, and tapply with various operations and arguments. First of all, it is an already long debunked myth that for loops are any slower than lapply. The for loops in R have been made a lot more performant and are currently at least as fast as lapply. That said, you have to rethink your use of lapply here. Your implementation demands assigning to the global environment, because your code requires you ... Now I am trying to run a conditional function with lapply, and I'm running into trouble. In some tables the 'ID' column has a different name (say, 'recnum'), and I need to tell lapply to go through each data frame, check if there is a column named 'recnum', and change its name to 'ID', as in.First question, let me know if more info or background is needed in the comments please. Many answers on here and elsewhere deal with calling lapply in a data.table function. I want to do the opp...I guess this is a bit of a beginner's question but I haven't quite found an answer or figured out what I'm doing wrong. I'm trying to read 20 CSV files that are stored in a separate directory usin...United Dreamliner passengers could end up with any of four 787 configurations. United Airlines is the only U.S. carrier to operate all three Boeing 787 Dreamliner variants. At the ...First, you need not use lapply when you don't care about the return value of the function called at each iteration. It offers nothing in this case. It offers nothing in this case. Second, and more importantly, what you are doing is writing objects to files with names derived from their variable names in R.For someone who wants to install and load packages simultaneously I came across this function from this link. # ipak function: install and load multiple R packages. # check to see if packages are installed. Install them if they are not, then load them into the R session. ipak <- function(pkg){.Iterating a Function Using R Lapply and a List of Function Arguments. 0. Create new variable with list's objects names in r. 0. Linear interpolation over a list of data frames. 4. Understanding lapply for list of dataframes. Hot Network Questions Reconciling optimisation for log-likelihood and Brier scoreSep 20, 2016 ... Define y ejemplifica las funciones con las que cuenta R para realizar operaciones simplificadas sobre matrices, lista y vectores.1 Overview. R provides a variety of functionality for parallelization, including threaded operations (linear algebra), parallel for loops and lapply-type statements, and parallelization across multiple machines. This material focuses on R’s future package, a flexible and powerful approach to parallelization in R.Learn how to use apply, sapply, lapply, and other apply functions in R to iterate over data structures and perform vectorized operations. See examples of aggregation, … Dado que en R todas las estructuras de datos pueden coercionarse a una lista, lapply () puede usarse en un número más amplio de casos que apply (), además de que esto nos permite utilizar funciones que aceptan argumentos distintos a vectores. X es una lista o un objeto coercionable a una lista. FUN es la función a aplicar. Today is a good day to start parallelizing your code. I've been using the parallel package since its integration with R (v. 2.14.0) and its much easier than it at first seems. In this post I'll go through the basics for implementing parallel computations in R, cover a few common pitfalls, and give tips on how to avoid …Tapply in R with multiple factors. You can apply the tapply function to multiple columns (or factor variables) passing them through the list function. In this example, we are going to apply the tapply function to the type and store factors to calculate the mean price of the objects by type and store. # Mean price by product type and store ...as.data.frame(lapply(df, myFunctionForColumn())) To operate on rows, we make the transpose first. tdf<-as.data.frame(t(df)) as.data.frame(lapply(tdf, myFunctionForRow())) The downside is that I believe R will make a copy of your data table. Which could be a memory issue. (This is truly sad, because it is programmatically simple …R: using lapply with data frames and custom function. 0. R- function in lapply with more than 1 parameter. 0. Using lapply to run a function with multiple parameters. 3. Vary Arguments Passed to Function in lapply call. 1. How to pass argument into user defined function when using lapply. sapply is a user-friendly version and wrapper of lapply by default returning a vector, matrix or, if simplify = "array", an array if appropriate, by applying simplify2array () . sapply (x, f, simplify = FALSE, USE.NAMES = FALSE) is the same as lapply (x, f) . vapply is similar to sapply, but has a pre-specified type of return value, so it can ... From your code I read that the lapply is used to loop over different variables, not over the levels of the factor. So then you do need some kind of looping structure, but lapply is a bad choice: you loop over a vector -names(barn)- so it's better to use sapply; the apply family will return the result from each loop, something you don't want.R lapply into data frame. 1. Put result from lapply with different columns to one data frame. 2. Merge data frames in for loop. 1. How to use lapply within dplyr. 0. Stacking lapply results. 1. Combine Series of Columns in R. 5. How to combine lapply with dplyr in a function. 1. R - lapply() and DataFrame. 1. R has some functions which implement looping in a compact form to make your life easier. lapply (): Loop over a list and evaluate a function on each element. sapply (): Same as lapply but try to simplify the result. apply (): Apply a function over the margins of an array. tapply (): Apply a function over subsets of a vector. lapply con una función propia. lapply vs bucle for. lapply vs sapply en R. Más ejemplos de la función lapply en R. lapply en las columnas de un data frame. Funciones lapply anidadas. La función lapply forma parte de la familia de funciones apply y permite aplicar una función sobre un vector o una lista, devolviendo una lista. R: using lapply with data frames and custom function. 0. R- function in lapply with more than 1 parameter. 0. Using lapply to run a function with multiple parameters. 3. Vary Arguments Passed to Function in lapply call. 1. How to pass argument into user defined function when using lapply.4.3 Apply Custom Function to Vector in R. Now let’s create a custom function in R and call it from lapply() function by passing the function name to the FUN argument. Here, the getLang() function is called for each element of the vector and the function getLang() splits the string by delimiter ‘_’ and returns the first part of the string.Jan 4, 2024 · In this example, the lapply function is used to apply the sum function to each element of the numbers list. The resulting result list contains the sums of the elements in each sublist. Unlike sapply, lapply always returns a list, making it suitable when you want to maintain the structure of the input list. The lapply function is a powerful tool ... A grouped tibble. .f. A function or formula to apply to each group. If a function, it is used as is. It should have at least 2 formal arguments. If a formula, e.g. ~ head (.x), it is converted to a function. In the formula, you can use. . or .x to refer to the subset of rows of .tbl for the given group. .y to refer to the key, a one row tibble ...I need to subtract specified value from each list element in R. In this article is mentioned that for such tasks the apply family of functions are used instead of loops. I've tried following: # Define list. > a = 1:20. # Substraact this from each element. > substract_me = 5. # Function for substracting. > substract = function(x,y) { ret = x-y ... 5. First step would be making the function object, then applying it. If you want a matrix object that has the same number of rows, you can predefine it and use the object [] form as illustrated (otherwise the returned value will be simplified to a vector): bvnormdens <- function(x=c(0,0),mu=c(0,0), sigma=c(1,1), rho=0){. To turn this into an lapply call, the approach is the same as in Example 2 - we rewrite the for-loop to assign to a list and only afterward we worry about putting those values into a matrix. To keep it simple, this can be done using something like: X <- 1:5. tmp <- lapply(X, function(x) {.R lapply into data frame. 1. Put result from lapply with different columns to one data frame. 2. Merge data frames in for loop. 1. How to use lapply within dplyr. 0. Stacking lapply results. 1. Combine Series of Columns in R. 5. How to combine lapply with dplyr in a function. 1. R - lapply() and DataFrame. 1.Jan 12, 2013 · Second, the return value of lapply is ignored. Either of these suggest that an explicit loop is best. Either of these suggest that an explicit loop is best. Less ugly, and almost stolen from @thelatemail: I also plot the intersection points that we will derive later: Now we compute the resultant of the two polynomials with respect to \ (x\) : We need the roots of the resultant \ …First of all, it is an already long debunked myth that for loops are any slower than lapply.The for loops in R have been made a lot more performant and are currently at least as fast as lapply.. That said, you have to rethink your use of lapply here. Your implementation demands assigning to the global environment, because your code …I have a list l, which has the following features: It has 3 elements Each element is a numeric vector of length 5 Each vector contains numbers from 1 to 5 l = list(a = c(2, 3, 1, 5, 1), b = c(4, ...Learn how to use apply, sapply, lapply, and other apply functions in R to iterate over data structures and perform vectorized operations. See examples of aggregation, …lapply(list.DFs, function(x) filter(x, Gold.fish.count == "Total")) Share. Improve this answer. Follow answered Mar 19, 2017 at 6:56. yeedle yeedle. 4,948 1 1 gold badge 23 23 silver badges 22 22 bronze badges. 5. Both this answer and David Arenburg's show me in the console the filtered datasets. But in neither case is the …This is the idiomatic way. lapply will always return a vanilla list. A data.frame is a special kind of list (a list of column vectors). With res [] <- lapply (df, myfun), we're assigning to columns of res. Since all your columns are the same class, I'd suggest using a matrix instead of a data.frame.Using lapply in R to loop through a list of data.frames in R. 2. Apply function to list of data frames in R. Hot Network Questions Can I raise my ceiling in my shed? Why did it take so long for the U.S. government to give Medicare the power to negotiate prescription drug prices directly with drug companies? ...The R programming code below explains how to handle list index names when using the lapply function in R. For this, we have to apply the seq_along function to our list, and we have to specify a user-defined function, in which we access the list index names and values. Within this function, we can specify basically whatever we want.Index fund leaders BlackRock, Vanguard and State Street hold a combined 13.6% stake in Tesla, while Elon Musk has about 13% of the EV maker he leads. Jump to Elon Musk now owns les... 5. First step would be making the function object, then applying it. If you want a matrix object that has the same number of rows, you can predefine it and use the object [] form as illustrated (otherwise the returned value will be simplified to a vector): bvnormdens <- function(x=c(0,0),mu=c(0,0), sigma=c(1,1), rho=0){. Cancer Matters Perspectives from those who live it every day. Your email address will not be published. Required fields are marked * Name * Email * Website Comment * Save my name, ...Oct 20, 2014 · Rest assured you can take that approach in R but once you get an understanding of lists and lapply you will appreciate what it can do for you. This leads me to what I feel is an important observation. I find that most misunderstandings of the lapply command result primarily from a limited or incomplete knowledge of the list structure in R. If you really want to do it all with lapply, here's a way to go:. lapply(all.spp.data,function(x) do.call(cbind,lapply(1:nrow(x),function(y) as.numeric(x[,y])))) This uses a nested lapply call. The first one references the single data.frames to x.The second one references the column index for each x to y.So in the end I can reference …R> as.Date( c("2010-04-06", "foo", "2010-04-08") ) [1] "2010-04-06" NA "2010-04-08" You can trivially wrap na.omit() or whatever around it. Or find the index of NAs and extract accordingly from the initial vector, or use the complement of the NAs to find the parsed dates, or, or, or. ... how to figure out which statement in lapply fails in …Don't miss the May deadline grants that are now available nationwide, addressing everything from restaurants to childcare businesses. One of the most important factors to consider ...edited Oct 31, 2012 at 6:51. answered Oct 31, 2012 at 6:44. mnel. 114k 28 265 254. Add a comment. 2. That expression will cause each successive value of 'x' to be given to [ [ as its first argument and for VarNames [ [type]] to be evaluated and used as the second argument. The result should be a series of function calls of the form:How much do you know about high-speed trains? Keep reading to discover 8 Benefits of High-speed Trains. Advertisement One of the key pieces of infrastructure that we could really u...I have a time series (x,y,z and a) in a list name called dat.list. I would like to apply a function to this list using lapply.Is there a way that I can print the element names i.e., x,y,z and a after each iteration is completed in lapply.Feb 8, 2017 ... How to use this functions to loop thru a list, vector or Dataframe Check our 50% discount coupon on Udemy for "Advanced R" (5h course on ... Utilice la función lapply () cuando desee aplicar una función a cada elemento de una lista, vector o marco de datos y obtener una lista como resultado. La sintaxis básica de la función lapply () es la siguiente: lapply (X, FUN) X es el nombre de la lista, vector o marco de datos. DIVERSIÓN es la operación específica que desea realizar. sapply is a user-friendly version and wrapper of lapply by default returning a vector, matrix or, if simplify = "array", an array if appropriate, by applying simplify2array () . sapply (x, f, simplify = FALSE, USE.NAMES = FALSE) is the same as lapply (x, f) . vapply is similar to sapply, but has a pre-specified type of return value, so it can ... Use lapply to Process Lists of Files. Next, let’s look at an example of using lapply to perform the same task that you performed in the previous lesson. To do this you will need to: Write a function that performs all of the tasks that you executed in your for loop.; Call the apply function and tell it to use the function that … R has some functions which implement looping in a compact form to make your life easier. lapply (): Loop over a list and evaluate a function on each element. sapply (): Same as lapply but try to simplify the result. apply (): Apply a function over the margins of an array. tapply (): Apply a function over subsets of a vector. R lapply into data frame. 0. how to use lapply in R. 0. lapply functions inside each other does not work as expected. 5. How to combine lapply with dplyr in a function. 1. R - lapply() and DataFrame. 2. Using dplyr instead of lapply. Hot Network Questions Change opacity of region defined by ParametricRegionMar 18, 2016 · lapply (): lapply function is applied for operations on list objects and returns a list object of same length of original set. lapply function in R, returns a list of the same length as input list object, each element of which is the result of applying FUN to the corresponding element of list. #create a list with 2 elements l = (a=1:10,b=11:20 ... Learn how to use the lapply function in R to apply a function to a list or a vector, returning a list of the same length as the input. See how lapply can replace fo… First of all, it is an already long debunked myth that for loops are any slower than lapply. The for loops in R have been made a lot more performant and are currently at least as fast as lapply. That said, you have to rethink your use of lapply here. Your implementation demands assigning to the global environment, because your code requires you ... sapply is a user-friendly version and wrapper of lapply by default returning a vector, matrix or, if simplify = "array", an array if appropriate, by applying simplify2array () . sapply (x, f, simplify = FALSE, USE.NAMES = FALSE) is the same as lapply (x, f) . vapply is similar to sapply, but has a pre-specified type of return value, so it can ... Ha ha yip Carl you nailed it. I had gotten I think about 30% of the way to figuring out the assignment when I ran into this. Thought it was a good question though as lapply has ... as an argument and I figured somewhere in there I …Watch this video to find out how to quiet a loud fan. Expert Advice On Improving Your Home Videos Latest View All Guides Latest View All Radio Show Latest View All Podcast Episodes...Feb 14, 2022 · Learn about the four types of functions in the R Programming Language that help us apply a certain function to a certain data frame, list, or vector and return the result as a list or vector. See syntax, parameters, and examples of each function with R code and output. The very idea of a data set (well beyond R) is that every column is a different type and this diversity together allows for intuition on units of observations (i.e., rows). Rowwise operations should fail as data sets do not guarantee same types between each other, only within. Otherwise use a matrix where all elements are the same type. –lapply / replace. lapply(seq_along(p), function(i) replace(p[[i]], q[[i]], Inf)) for. for(i in seq_along(p)) p[[i]][ q[[i]] ] <- Inf replace / melt. If each component of p has the same length (as the example in the question does) we can turn p into a data.frame which opens up additional possibilities. This returns a data frame:Instead of running a function for different input values several times, you can use lapply() function. It loops over a given vector or list input (l in lapply comes from list), and applies the input function to each element in that list. system.time({ lapply(c(124,119,119,197,102), multfun) }) ## user system elapsed ## 15.64 0.29 …The remaining R code was kept exactly the same. However, the family of apply commands contains many different functions that can be selected depending on your input data and the output you want to generate. The next functions are using lists as input data… Example 2: lapply() Function. In Example 2, I’ll illustrate how to use …Applying a Magrittr Pipe in lapply() with R. Ask Question Asked 4 years, 7 months ago. Modified 4 years, 4 months ago. Viewed 3k times Part of R Language Collective 0 I would like to find a way to implement a series of piped functions through an lapply statement and generate multiple databases as a result. ...Jun 16, 2016 ... Both functions apply a function to each element of a list. The difference is in what they return. lapply returns a list whose elements are the ...myfun <- function(x, arg1) { # doing something here with x and arg1 } x is a vector or a list and myfun in lapply(x, myfun) is called for each element of x separately.. Option 1. If you'd like to use whole arg1 in each myfun call (myfun(x[1], arg1), myfun(x[2], arg1) etc.), use lapply(x, myfun, arg1) (as stated above).. Option 2. If you'd …Part of R Language Collective. 1. I'm looking for help to transform a for loop into an lapply or similar function. I have a list of similar data.frame s, each containing. an indicator …apply will convert your data.frame to a matrix. This will create a copy (waste of time and memory), as well as perhaps causing unintended type conversions. Given that you have 10 million rows of data, I would suggest you look at the data.table package that will let you do things efficiently in terms of memory and time.Jul 18, 2016 ... I feel like I am missing a fundamental trick to making this work. I would really appreciate the learning experience and all of the help. ui.R ...Part of R Language Collective. 1. I have a list that contains multiple data frames. I would like to sort the data by Category ( A) and sum the Frequencies ( B) using the lapply -command. The data is df_list. df_list $`df.1` A B 1 Apples 2 2 Pears 5 3 Apples 6 4 Pears 1 5 Apples 3 $`df.2` A B 1 Oranges 2 2 Pineapples 5 3 Oranges 6 4 Pineapples …Dec 6, 2019 · lapply()函数. lapply()函数可用于对列表对象执行操作，并返回与原始集合长度相同的列表对象。lappy()返回一个长度与输入列表对象相似的列表，其每个元素都是将FUN应用于列表的相应元素的结果。lapply()将列表，向量或数据框作为输入，并在列表中给出输出。 lapply(list.DFs, function(x) filter(x, Gold.fish.count == "Total")) Share. Improve this answer. Follow answered Mar 19, 2017 at 6:56. yeedle yeedle. 4,948 1 1 gold badge 23 23 silver badges 22 22 bronze badges. 5. Both this answer and David Arenburg's show me in the console the filtered datasets. But in neither case is the …R lapply(): Change all columns within all data frames in a list to numeric, then convert all values to percentages. 2. Assigning row_number() as a column value over a list of dataframes in R. 0. Apply as.numeric on a list of data.frames. Hot Network Questions

R: lapply function - skipping the current function loop. 1. How to use user defined function within `lapply` 1. lapply inside an lapply function. 0. R- function in lapply with more than 1 parameter. 0. Changing from a loop to a function in R lapply. 1. Using lapply with multiple function inputs without nesting. 0.. Pirats bay

lapply in r

Just replace the call to lapply with the following line. ourFinalValue <- Reduce (“+”,lapply (ourList,sum)) And, once again, this will also work if ourList is replaced with ourVector. In either case, the summed result from lapply will be further reduced into a single value by R’s reduce function. lapply () function in R Programming Language is used to apply a function over a list of elements. lapply () function is used with a list and performs the following operations: lapply (List, length): Returns the length of objects present in the list, List. lapply (List, sum): Returns the sum of elements held by objects in the list, List.1 Overview. R provides a variety of functionality for parallelization, including threaded operations (linear algebra), parallel for loops and lapply-type statements, and parallelization across multiple machines. This material focuses on R’s future package, a flexible and powerful approach to parallelization in R.Example 1: apply () Function. This Example explains how to use the apply () function. The apply function takes data frames as input and can be applied by the rows or by the columns of a …R> as.Date( c("2010-04-06", "foo", "2010-04-08") ) [1] "2010-04-06" NA "2010-04-08" You can trivially wrap na.omit() or whatever around it. Or find the index of NAs and extract accordingly from the initial vector, or use the complement of the NAs to find the parsed dates, or, or, or. ... how to figure out which statement in lapply fails in …Mar 1, 2019 · When we do this, lapply knows to build. Filter(mylist[[i]], f = function(x) !all(is.na(x)) ) which is equivalent to. Filter(function(x) !all(is.na(x)), mylist[[i]]) For details on how arguments are read, the "Named arguments and defaults" part of the docs may be helpful, in RShowDoc ("R-intro", type = "html"). Share. Improve this answer. Follow. The Insider Trading Activity of THOMPSON JANE A. on Markets Insider. Indices Commodities Currencies Stocks sapply is a user-friendly version and wrapper of lapply by default returning a vector, matrix or, if simplify = "array", an array if appropriate, by applying simplify2array () . sapply (x, f, simplify = FALSE, USE.NAMES = FALSE) is the same as lapply (x, f) . vapply is similar to sapply, but has a pre-specified type of return value, so it can ... Learn how to use the lapply function in R to apply a function to a list or a vector, returning a list of the same length as the input. See how lapply can replace fo…Feb 3, 2018 · Timing-wise they are all comparable, in recent R versions probably outer() will be a tad slower than the other solutions. Benchmarking To show how results can vastly differ depending on the size and order of objects, I include the following benchmarking results (code and output below). Nice answer. The cost is in use of sapply(); compare with lapply() (the for loop modifies d, better to write functions with d as argument and then system.time(f0(d)), see also microbenchmark package).ifelse() isn't meant to be used to test a scalar condition (both outcomes are evaluated) so use a plain old if …Mar 25, 2022 · The lapply, sapply, apply, and tapply functions. The apply-family in R is an inbuilt package in R that allows you to avoid loops when exploring and analyzing data. I find the apply-functions to be incredibly useful for working with data in R. They allow you to write short and effective code. Learn how to use lapply to apply a function to each element of a vector or list and return a list of the same length as X. See the arguments, usage, value and examples of lapply and its …The first chapter of Chinese urbanization was a story of migrant workers. The next chapter will be about their families. The first chapter of Chinese urbanization was a story of mi...For Marriott, it seems being the world's largest hotel company isn't enough. Now the hotel giant is getting into the home-sharing business in a bid to win over travelers who would ...@Limey yes that would be the R solution. But I think the question is a different one. I think survey1 might not be a list. lapply can work with vector inputs but not in the way it is used in this question. – D.JTo explain: First lapply applies to a list or list-like object (‘tickers’), a function (‘process’). lapply always returns a list. This can then be fed into do.call, which calls a function (‘rbind’) on a list of arguments (the output of lapply i.e. the lists returned by ‘process’). The use of do.call / lapply provides for a far ...The problem you get is related to lazy evaluation. This means that the functions in ll are only really evaluated when you call them, which is in grid.arrange.At that time, each function will try and locate i, which will have a value of 5 by that time because that is the last value of i at the end of the lapply loop. Therefore, the data extracted from …For Marriott, it seems being the world's largest hotel company isn't enough. Now the hotel giant is getting into the home-sharing business in a bid to win over travelers who would ....

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