Tidyr spread multiple keys. Während tidyr::spread(df_2, key, value) einen Fehler .

Tidyr spread multiple keys The simplified syntax is as follow: spread_(data, key_col, value_col) How to Use Spread Function in R, To “spread” a key-value pair across multiple columns, use the spread() method from the tidyr package. Any ideas as to how I can go about this? Sorry for the super simple question! Thanks in gather(): Gather takes multiple columns and collapses into key-value pairs, duplicating all other columns as needed. Nov 8, 2023 · library (tidyr) #spread stat column across multiple columns spread(df2, key=stat, value=amount) player year assists blocks points steals 1 A 1 6 1 14 2 2 A 2 9 4 29 3 Every column is a variable. All column naming conventions that can be used with dplyr::select should behave well with spread_multi. 16835445 0. Here is a rough and ready approach that does what you want, though it is very brittle (the data frame and grouping columns are all hard-coded into the function). seed(42) Sep 18, 2019 · Rather than spread(), you can use the new pivot_wider() that was added in the recent tidyr 1. 2-Q3. Jul 16, 2015 · tidyr::spread() with multiple keys and values. key, value: Column names or positions. Any plans for an untidyr package :-) Jun 24, 2021 · R报错-gather & spread 函数，有新版替代函数. Similarly, think of gather() as a function that will gather a variable whose “values” are spread across multiple columns (where the “key” is the grouping variable that distinguishes the library (tidyr) #spread stat column across multiple columns spread(df2, key=stat, value=amount) player year assists blocks points steals 1 A 1 6 1 14 2 2 A 2 9 4 29 3 Ressources additionnelles L’objectif du package Tidyr est de créer des données « ordonnées », qui présentent les caractéristiques suivantes : tidyr is built for this function, and thus does less than reshape2. One observation might be scattered across multiple rows. spread(): Spread a key-value pair across multiple columns. Thanks for any help! Oct 12, 2016 · (I was not able to use tidyr::spread to create desired output because of duplicate keys. 0. I am trying to do so with spread using Tidyverse. This will make long data more wide, as you are now creating more columns. How to use the Nov 17, 2017 · Ask questions, find answers and collaborate at work with Stack Overflow for Teams. 30, so it would need a bunch of individual calls to spread(). Jan 23, 2025 · Key Functions in tidyr with Examples. 错误的原因及解决方法。文章指出，此错误通常由参数指定不当引起，如数据框中的row和key组合重复，或未在group操作后进行ungroup。 Aug 15, 2018 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. 6886531 #2 2 0. tidyr::spread tidyr::pivot_wider with multiple different values Dec 8, 2018 · 本文介绍了R语言tidyr包中的三个重要函数：gather用于将二维表转换为规范的二维表，separate用于分割包含多个变量的列，spread则用于扩展表，将一列的值拆分为多列。通过实例展示了这三个函数的具体用法和参数设置，帮助理解tidyr包在数据整理中的应用。 Aug 6, 2019 · I want to transforms a data frame with contact information with of a for a list of municipalities in which similar information such as e. Now usually I tackle this with the tidyr::spread() function. Oct 17, 2017 · spread doesn't apply a function to combine multiple values (à la dcast), so rows must be indexed so there's one or zero values for a location. value: The name of the column containing the values (to fill the The base R library provides users with an impressive selection of functions. If we can make that one value column, we can spread the data as you would like. ) All the documentation I've seen assumes that spread can only be used for one key column and one value column. spread. (structure_type contains three factor levels. phone number appears in multiple columns. Aug 1, 2019 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand R function files. spread() has the following syntax: gatheredData %>% spread(key=country, value=score) tidyr syntax changes. So for example, 注：本文由纯净天空筛选整理自Hadley Wickham等大神的英文原创作品 Spread a key-value pair across multiple columns。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。 Nov 26, 2018 · I've got this long, tidy dataframe that I've to make wide. Jul 20, 2019 · # 코드 해석: table4b에서 gather을 할 것이다. 4 I would like to spread data over multiple columns using tidyr. For example in Python (in the pandas package) and in Microsoft Excel (under the name pivot table) duplicate identifiers are handled using an aggregation function, which is currently not supported in tidyr. The most popular functions from tidyr are those used to pivot a rectangular dataset to a longer or wider format, gather() and spread(). However, I don't know how to spread the V* columns when the keys I want to spread by are all over the place in different columns and include NAs. May 9, 2018 · Using Tidyr’s spread. He asked me a question about tidily converting from long to wide format when you have multiple value columns. There is probably a really cool way to do this with tidyr::spread and dplyr::summarise. 6. What would be the key, value combinations using dates? How to then subset into multiple dataframes?. key: the key column which will be spread across the columns of the resulting data frame the value columns to be spread. Ask Question Asked 5 years, 5 months ago. Datenrahmen mit mehreren Werten für denselben Schlüssel + aggfunc bereitgestellt Jun 1, 2019 · I am new in the tidyverse data manipulation and I am using gather() function from the tidyr package for changing from wide to long form on my data. g. It "unbundles" a column into multiple columns. Every row is an observation. Contribute to luenhchang/R_functions development by creating an account on GitHub. Oct 22, 2019 · I haven't used R for a little while and am a bit rusty on data manipulation, I've tried a bunch of things like using spread() and group_by() together, but I keep getting the error: Error: Each row of output must be identified by a unique combination of keys. However, it offers additional functionality such as using multiple key/name columns (and/or multiple value columns). These arguments are passed by expression and support quasiquotation (you can unquote column names or column positions). It collects multiple columns and their values into key–value pairs, creating a new column for the keys and another for Spread a key-value pair across multiple columns Description. But now I have to deal with multiple keys, values and naming conventions. Alternative Möglichkeiten, um das gleiche Ergebnis zu erzielen: spread_with_multiple_values(df_2, 3, 4) spread_with_multiple_values(df_2, -2, -1) spread_with_multiple_values(df_2, "key", "value") 3. How to Use Spread Function in R, To “spread” a key-value pair across multiple columns, use the spread() method from the tidyr package. Spreading a single column across different columns. 2 Aug 7, 2018 · I have a similar problem than the following, but the solution presented in the following link does not work for me: tidyr spread does not aggregate data I have a df in the following structure: UndesiredIndex DesiredIndex DesiredRows Result 1 x1A x1 A 50,32 2 x1B x2 B 7,34 3 x2A x1 A 50,33 4 x2B x2 B 7,35 May 12, 2019 · 在R语言中，tidyr包的应用 tidyr主要提供了一个类似Excel中数据透视表 (pivottable)的功能; gather和spread函数将数据在长格式和宽格式之间相互转化，应用在比如稀疏矩阵和稠密矩阵之间的转化; separate和union方法提供了数据分组拆分、合并的功能，应用在nominal数据的 Spread a key-value pair across multiple columns Description Development on spread() is complete, and for new code we recommend switching to pivot_wider() , which is easier to use, more featureful, and still under active development. Nov 9, 2018 · tidyr::spread() with multiple keys and values. > spread_with_multiple_values(df_3, key, value, aggfunc = str_c, collapse = "-") # A tibble: 1 x 5 col1 col2 A B C <dbl> <chr> <chr> <chr> <chr> 1 1 H 2 3 1-8 > spread_with_multiple_values(df_3, key, value, aggfunc = min) # A tibble: 1 x 5 col1 col2 A B C <dbl> <chr> <dbl> <dbl> <dbl> 1 1 H 2 3 1 > spread_with_multiple_values(df_3, key, value May 3, 2018 · Given the example data, I'd like to spread a subset of the key-value pairs. Jun 4, 2021 · The spread() function from the tidyr package can be used to “spread” a key-value pair across multiple columns. Here is an example of how spread() operates. factor_key. 假设我们在 R 中有以下数据框： Jul 25, 2014 · With the new function pivot_wider() introduced in tidyr version 1. 1 data: A data frame. This function uses the following basic syntax: spread(data, key value) where: data: Name of the data frame; key: Column whose values will become variable names; value: Column where values will fill under new variables created from key Jun 24, 2024 · Spread a key-value pair across multiple columns Description. If set, missing values will be replaced with this value. 4 "spread" multiple variables using pivot_wider() 2. Nov 6, 2018 · To widen them in the way we want, we will need to do a bit more work. spread() function in tidyr. For example, given the data: set. R: Use vector as key parameter in tidyr spread function. 7 Tidyr::spread() error: Each row of output must be identified by a unique combination of keys. Every cell is a single value. This would require for the interview date to be included in a single column rather than spread across multiple columns. x = rnorm(n=30), . I'm curious if it's scalable though—in my real data I've got Q3. But it seems like this should be possible to do this. Spreading a two column data frame with tidyr. 7. 15608322 0. Rd Development on spread() is complete, and for new code we recommend switching to pivot_wider() , which is easier to use, more featureful, and still under active development. Sep 25, 2019 · 本文详细解析了在使用R语言tidyr包中spread()函数时遇到的Each row of output must be identified by a unique combination of keys. Specifically, tidyr can only be used with exisiting dataframes, and cannot aggregate. I’m writing down the answer (or, an answer) here so that I can find it again Jan 13, 2019 · tidyr::spread() with multiple keys and values. 做一个练习题，以为很简单，但是却碰到问题. I know that this is a situation where tidyr and spread() would likely be perfect, but I'm not sure how to actually make this work. May 21, 2019 · a data. Going This tutorial provides you with the basic understanding of the four fundamental functions of data tidying that tidyr provides: gather() makes “wide” data longer; spread() makes “long” data wider; separate() splits a single column into multiple columns; unite() combines multiple columns into a single column; Additional Resources Jun 4, 2021 · The goal of the tidyr package is to create “tidy” data, which has the following characteristics: Every column is a variable. Aug 4, 2019 · How do you use spread() when your data has multiple "key" variables? 1. In this chapter, I will go over the hallmark functions of tidyr: gather(), separate(), unite(), and spread(). We can use Tidyr’s spread function to separate key-value pairs across multiple columns. General Class: Data Reshaping. 0792947 #3 3 0. It makes "long" data wider. First let’s install and call up the tidyr package. Hot Network Questions Grover's algorithm number of iterations Aug 5, 2019 · Think of spread() as a function that will spread a single variable’s “values” across multiple columns based on a “key”, or grouping variable. 3. Explore Teams I have a CRSP list of stock price as follow PERMNO date TICKER RETX 1 10138 2007-01-03 TROW 0. data: A data frame. Dec 6, 2018 · I am trying to use spread as part of the tidyr package. Required Argument(s): data: The data frame to reshape. 17. Below we add two new variables that are gpa of course A and B. Asking for help, clarification, or responding to other answers. My example dataframe looks like this: May 28, 2019 · View source: R/tidyr-extensions. Spread key with two variables. This is passed to tidyselect::vars_pull(). 1744542 This is not exactly as wanted in the question, but sufficient for my purposes. So for example, Feb 5, 2020 · 我正在学习 tidyr 并做一个小练习将iris数据集从宽转换为长。 原始数据集： 我想要的结果数据集： 我为操作数据集编写的代码： 但是最后一行spread 给了我一个错误： 错误：每行输出必须由唯一的键组合标识。 The two most important functions in tidyr are gather() and spread(). Length", "Species", "Species_num"), 2), Jul 18, 2022 · How to Use Spread Function in R, To “spread” a key-value pair across multiple columns, use the spread () method from the tidyr package. If TRUE will automatically run type. And libraries like tidyr wrap that potential into easier-to-use systems. 1. 008743 3 10138 2007-01-05 TROW -0. Provide details and share your research! But avoid …. Description. rm = TRUE) # Use 'convert = TRUE' to produce variables of mixed type df <- tibble( row = rep(c(1, 51), each = 3), var = rep(c("Sepal. In this case it is just one pair. A picture is attached. Tidyr::spread() error: Each row of output must be identified by a unique The example. Oct 18, 2015 · As per @akrun's response, you can use refer to NA with backquotes. > <p>Development on <code>spread()</code> is complete, and for new code we recommend switching to <code>pivot_wider()</code>, which is easier to use, more featureful Feb 19, 2018 · This is an ooooooold thread, but I'm facing the same problem and decided to nest() the multiple value columns to achieve the same effect. NA), and implicit missings, rows that simply aren't present. The spread function in R makes it easy to spread a key value pair across different columns of a structure. 0 release. where: data: Name of the data frame. 👍 5 tbuckl, rsmith54, S-UP, zhaoc1, and iSevenDays reacted with thumbs up emoji All reactions Aug 4, 2020 · R-tidyr主要有以下几大功能： gather—宽数据转为长数据； spread—长数据转为宽数据； unit—多列合并为一列； separate—将一列分离为多列; unit和separate可参考Tidyverse|数据列的分分合合，一分多，多合一，本文主要介绍利用tidyr包实现长宽数据的转化。 一 载入R包 Nov 6, 2018 · Earlier this year my colleague Steve Vaisey was converting code in some course notes from Stata to R. Note that there are two types of missingness in the input: explicit missing values (i. R. y = rnorm(n=30)) id time x y. A data frame. But I do it often enough that I'd like to be able to write a function that does this. Feb 15, 2022 · Alternatively, if the interview dates were spread across multiple columns, and we were interested in visualizing, within each village, how irrigation conflicts have changed over time. The unite Feb 29, 2024 · Package: tidyr. A key value pair is a simple way to record information. ) ### # Desired output ### # aName ds1 ds2 ds3 # a 1 10 100 # a 2 20 NA # a 3 30 NA # b 4 40 NA # b 5 NA NA # c NA 50 200 # c NA 60 300 # c NA NA 400 Spreading these duplicates to multiple rows can be seen as a special case of the more general problem of handling duplicate identifiers. I have the following data dataframe: id &lt;- 1:10 Jul 24, 2023 · library (tidyr) #spread stat column across multiple columns spread(df2, key=stat, value=amount) player year assists blocks points steals 1 A 1 6 1 14 2 2 A 2 9 4 29 3 Zusätzliche Ressourcen. Essentially, keys and values will be combined into one key and value, then separated in the final data frame as appropriate. Jun 22, 2018 · So the key thing here is that the list you want to map over is actually the column names, not the columns or the dataframe itself. df %>% spread(key, value) is equivalent to df %>% pivot_wider(names_from = key, values_from = value) Arguments data. Use spread() for this. My attempt was: Want = Have |&gt; spread(key = Group, value = Number) The result was poor, it kep 我们可以使用spread()函数将stat列值转换为它们自己的列： library (tidyr) #spread stat column across multiple columns spread(df, key=stat, value=amount) player year assists points 1 to 1 6 14 2 to 2 7 18 3 B 1 9 22 4 B 2 4 38 示例 2：将值分散到两列以上. 04598124 0. separate():Turns a single character column into multiple columns. The spread() function. gather 방법은, '1999', '2000'을 key 값으로, value 값은 key 값의 population 수치로 하겠다라는 의미이다. wide1 <- long %>% spread(key = course, value = gpa) wide1 Feb 5, 2020 · 我正在学习 tidyr 并做一个小练习将iris数据集从宽转换为长。 原始数据集： 我想要的结果数据集： 我为操作数据集编写的代码： 但是最后一行spread 给了我一个错误： 错误：每行输出必须由唯一的键组合标识。 Apr 29, 2017 · Spread [tidyr] with one key and multiple value columns. I also demonstrated how to use this function to spread multiple key-value pairs into a wide format and handle missing values effectively. The basic syntax used by this function is as follows. Dec 19, 2018 · How can I spread() a data frame based on multiple keys for multiple values? A simplified (I have many more columns to spread, but on only two keys: Id and time point of a given measurement) data I'm working with looks like this: time = rep(1:3, each=10), . How to spread a single column based on multiple The two most important functions in tidyr are gather() and spread(). Use gather() for this. df %>% spread(key, value) is equivalent to df %>% pivot_wider(names_from = key, values_from = value) # Spread and gather are complements df <- tibble(x = c("a", "b"), y = c(3, 4), z = c(5, 6)) df %>% spread(x, y) %>% gather("x", "y", a:b, na. It has a values_from argument that allows you to specify multiple columns at once: Apr 23, 2021 · Spread multiple columns with values by one columne containing key. spread() does the opposite of gather(). Example 2: Long to Wide Format (tidyr Package – spread() Function) The spread() function does not use a formula to indicate the data shape. Here, key is course and value is from gpa. It's still not a one line spread, but I found it to be a more flexible solution for more complex gather/spread problems: Jul 18, 2022 · The post How to Use Spread Function in R?-tidyr Part1 appeared first on Data Science Tutorials. df %>% spread(key, value) is equivalent to df %>% pivot_wider(names_from = key, values_from = value) Jan 24, 2025 · In this article, I have explained the spread() function in R’s tidyr package is used to transform a single key-value pair into a wide format. Aug 27, 2019 · tidyr::spread tidyr::pivot_wider with multiple different values per key. df %>% spread(key, value) is equivalent to df %>% pivot_wider(names_from = key, values_from = value) Jan 24, 2025 · You can also use the gather() function from the tidyr package along with separate() to reshape wide columns into a long format based on multiple key-value pairs. tidyr - spread multiple columns. In this process, multiple columns are gathered into two new columns: one containing the column names and another containing the corresponding values, while keeping the grouping column Mar 9, 2024 · spread(): Reshape data from long to wide format by spreading key-value pairs into multiple columns. For example, tidyr provides a special function called spread. convert() on the key column. Thank you! Jul 12, 2018 · Resolve one of two common problems using tidyr’s gather() and spread(): One variable might be spread across multiple columns. For this, we’ll use some data showing the general reasons people were admitted to hospital by financial year from July 1993 to June 1998. Related. Feb 22, 2025 · Spread a key-value pair across multiple columns Description. 4. Das Ziel des Tidyr-Pakets besteht darin, „aufgeräumte“ Daten zu erstellen, die folgende Eigenschaften aufweisen: Jede Spalte ist eine Variable. 1 key value pairs. However, with the release of tidyr version 1. 0 (09/11/19), pivot_longer() and pivot_wider() have been released to replace them. tidyr::spread tidyr::pivot_wider with multiple different values per key. The trick is to set the right key variable and the value variable. Feb 22, 2020 · spread(data, key = ticker, value = value) date MSFT SPY 1 2019 3 1 2 2020 4 2 Spread (tidyr) - Spreading repeated values. key: column whose values will serve as the names of variables. 0, this can be accomplished with one function call. key: The name of the column containing the keys (to spread into columns). com How to spread columns with duplicate identifiers? How to use spread() programmatically inside an R function? You should use the function spread_() which takes strings specifying key and value columns instead of unquoted column names. Take a look at the output for jj_melt when you use the code below. Below are the key functions of the tidyr package. tidyr spread subset of key-value Sep 2, 2017 · Often I need to spread multiple value columns, as in this question. I have one key column (structure_type) and four value columns. Während tidyr::spread(df_2, key, value) einen Fehler . sep: the seperator to create column names of the form '<key_name><sep><key_value>' Aug 3, 2015 · When not NULL, it will be used as separator between the key name and values: mydf %>% spread(key = year, value = value, sep = "") # id year2012 year2013 #1 1 0. I’ll show the results of Apr 21, 2015 · I often think tidyr has replaced reshape but in truth they have different underlying philosophies (the package names say it all); tidyr is a sub-philosophy of reshape2. Jan 17, 2023 · We can use the spread() function to turn the values in the stat column into their own columns: library (tidyr) #spread stat column across multiple columns spread(df, key=stat, value=amount) player year assists points 1 A 1 6 14 2 A 2 7 18 3 B 1 9 22 4 B 2 4 38 Sep 19, 2014 · Ooh, that works really well for the two variables. In effect—and this is a general strategy when doing this kind of thing with tidyr—we gather() the data into a long-enough form, then temporarily re-aggregate it to the level we want using unite(), and finally spread() the result into columns. This is useful if the column types are actually numeric, integer, or logical. It takes two columns (key & value) and spreads into multiple columns. The simplified syntax is as follow: spread_(data, key_col, value_col) Jul 16, 2015 · Two or more duplicate variables should be combined and the values associated with insatnce of the variable should be summed up. pivot_wider() (counterpart: pivot_longer()) works similar to spread(). This is a little more awkward than it should be, and I’ve run into the issue several times since then. fill. Usage The issue is the two columns for both A and B. The gather() function. If FALSE, the default, the key values will be stored as a character vector. Instead, it directly calls the measurement names column and value column via the key and value arguments, respectively. R - tidyr - mutate and But the final line of spread() gives me an error: Error: Each row of output must be identified by a unique combination of keys. Mar 28, 2023 · I wish to spread a table. It works on data that has come via <code>as_cells()</code> or <code>tidyxl::xlsx_cells()</code>, where each row represents one cell of a table, and the value of the cell is represented in a different column, depending on the data type. separate() : Split a single variable into multiple variables based on a delimiter. The separate() function. This situation can happen because related measurements that consist of an observation are collected separately, or someone has gathered the data a little too enthusiastically. spread # 왼쪽 table을 오른쪽 형태의 table로 만들기 위해서, spread를 활용할 것이다. 045236 2 10138 2007-01-04 TROW 0. Keys are shared for 400 rows: I did not expect this happen and I am still struggling with it. To start with, we’ll need some untidy data. spread_multi allows the use of the spread function from tidyr over multiple keys and values. Each relies on the idea of a key value pair. See ?spread. 将iris数据框的前4列gather，然后还原 Feb 21, 2018 · Duplicate identifiers in key, please use a unique key to spread on. 2. </p> How to use spread() programmatically inside an R function? You should use the function spread_() which takes strings specifying key and value columns instead of unquoted column names. stackoverflow. Development on spread() is complete, and for new code we recommend switching to pivot_wider(), which is easier to use, more featureful, and still under active development. The tidyr package uses four core functions to create tidy data: 1. tidyr spread values values from two columns (and rename columns) 3. e. 2. key, value <tidy-select> Columns to use for key and value. R gather() The gather() function transforms data from a wide to a long format. tidyr::spread() with multiple keys and values. How to use the spread function in tidyverse using multiple variables? 1. Though multiple calls appears inevitable anyway, whether it's a bunch of generate()s that work or nested spread()s… – Mar 8, 2017 · tidyr::spread() with multiple keys and values. 0. Oct 8, 2017 · tidyr::spread() with multiple keys and values. A pair contains two parts: a key that explains what the information describes, and a value that contains the actual information. spatter() is like tidyr::spread() but for when different columns have different data types. Jan 17, 2023 · We can use the spread() function to turn the values in the stat column into their own columns: library (tidyr) #spread stat column across multiple columns spread(df, key=stat, value=amount) player year assists points 1 A 1 6 14 2 A 2 7 18 3 B 1 9 22 4 B 2 4 38 spread() converts data from long to wide, spreading a key-value pair across multiple columns. And here is a function to take care of it: Spread_bool <- function(df, varname) { # spread a categorical variable to Boolean columns, remove NA column # Input: # df: a data frame containing the variable to be spread # varname: the "quoted" name of the variable to be spread # # Return: # df: a data frame with the variable spread Oct 20, 2010 · You can use tidyr::spread like this: tidyr::spread(data, group, value). Purpose: To reshape data from long to wide format by spreading a key-value pair into multiple columns. in our example variable "e" appears twice ones with the value "2" and the second time with value "na", which is a typo in the example, it should be associated with a real value let's say "1", so the combined "e" has the value of "3" for a given row. frame to be spread. However there are other cases where the subset to be spread is more than one pair. xxv xulq mxqr qupm nwdym byndsa xam bsj lqhi gfiw pjcnxq ixkix jigsj wetd wth