Filter if else in r R offers several ways to perform this, depending on whether the condition is single or multiple. Nov 10, 2017 · Why, or when, would I use if/else instead of case_when? Sep 6, 2025 · Mastering if else R logic is fundamental for writing flexible, robust, and intelligent code. To be retained, the row must produce a value of TRUE for all conditions. Case when is a mechanism using which we can vectorize a bunch of if and else if statements. When you combine this with an if/else statement, you can create a dynamic filter that behaves differently based on a group-level summary. data, , . case_when() is an R equivalent of the SQL "searched" CASE WHEN statement. Jun 22, 2017 · This question shows research effort; it is useful and clear Jun 12, 2018 · Split the input and for each element of the split Filter out the matches giving list L. Nov 18, 2020 · I need to filter my data to select a single row that is the latest Date. For this, we We would like to show you a description here but the site won’t allow us. Feb 1, 2023 · This tutorial explains how to filter rows based on a condition in R using dplyr, including an example. Aug 27, 2025 · The filter() function then keeps only the rows that meet this condition for each group. In that lesson, we mostly looked at global transformations; that is, transformations that did the same thing to an entire variable. 3. Elevate your data analysis with efficient, flexible coding. In this article, you will learn to create if and if else statement in R programming with the help of examples. default is used as a final "else" statment. I wonder how do I do an IF ELSE Statement in ansible. 1. 0" port => xxxx threads => 100 } } filter { if [headers][request_method] == "GET" { drop{} } else { json { source => "message" We have an Excel sheet that gets used by multiple people at a time and they keep changing the filter and selecting "See everyone's" when filtering. Nov 13, 2020 · I would like to conditionally filter based on multiple conditions. Jun 9, 2022 · I have a data frame that has similar structure to the following: Jul 14, 2020 · The ultimate guide to understanding how to use IF within the FILTER function. You may see functions such as filter_all, filter_if, and filter_at. I need to replace values based on a condition, and if the condition is false, leave them alone. In this tutorial we will show the syntax and some examples, with simple and nested conditions. Is that intended behavior or May 29, 2020 · Hi All, I am a newbie to the elk. Jul 21, 2025 · The filter method in R is used to select specific rows from a data frame that meet certain conditions. Sep 17, 2012 · Using ifelse to remove unwanted rows from the dataset in R Asked 13 years, 1 month ago Modified 8 years, 3 months ago Viewed 16k times Feb 11, 2021 · 1 , 2 , 3, 4 , 5 , 6 While there is a solution by not using across() and filtering using filter(col1 < 5 | col2 < 5 | col3 < 5), I would like to learn of a more ifelse function group in group in R Asked 9 years, 4 months ago Modified 7 years, 11 months ago Viewed 12k times Jul 23, 2025 · This article focuses upon the case when statement in the R programming language using the case_when () function from the Dplyr package. This lets you create conditional filter criteria that can filter on different variables based on some other condition external to the function call. Use dplyr::case_when with multiple conditions and dplyr::if_else otherwise. I'm sure this is something relatively easy but I did not see a clear solution posted. Jul 15, 2018 · The ifelse needs a vectorize argument when used with dplyr::filter or dplyr::mutate. e. This article will guide you through different approaches to conditionally replace values in an R data frame. Filters in the report are based on the school name, but I also want the same report for the board. For a yes value, the following criteria must be met Nov 2, 2019 · Conditional Pipes Conditional pipes in R Tidyverse. What Are Conditional Statements in R However a number of them should be coded with a 1. Just be careful that dplyr::case_when conditions are checked sequentially so condition order could matter if they overlap. Jun 26, 2018 · I've got a dataframe like below ID country age 1 X 83 2 X 15 3 Y 2 4 Y 12 5 X 2 6 Y 2 7 Y 18 8 X 85 I need to filter the rows for ages below 10 and, at the same ti Nov 16, 2021 · This tutorial explains how to replace values in a data frame in R based on specific conditions, including several examples. I want to run a set of reports for each school, as well as the board. null() function in R, including several examples. Note that when a condition evaluates to NA the row will be dropped, unlike base subsetting with [. We use it when we want to find rows that match some rules or values. This is an example of my tibble: animals. , are not your friend. use [ exclusively and things work better. That means the condition should be a vector of length matching with row numbers provided to ifelse as condition is evaluated for each row. table ifelse, if_else, if else Asked 5 years, 6 months ago Modified 5 years, 6 months ago Viewed 550 times r/Rlanguage Current search is within r/Rlanguage Remove r/Rlanguage filter and expand search to all of Reddit 14. by the number of rows associated with a subject), depending on whether the variable FILTER_BY_DAYS_USED is TRUE or FALSE. , Using if else on a dataframe across multiple columns, Str_detect multiple columns using across) on this type of question, but I can't seem to put it all together. If no cases match, the . May 15, 2022 · How to implement a conditional filter in R dplyr filter Ask Question Asked 3 years, 6 months ago Modified 3 years, 6 months ago Vectors form the basic building block of R programming. Most of the functions in R take vectors as input and output a resultant vector. Through some research I thought that maybe using "else" after the {} and simply having nothing after "else" will achieve what I'm looking for. preserve = FALSE) Value An object of the This is more of an extended comment building on Roman's answer, but I need the code utilities to expound: Roman is correct that if is faster than ifelse, but I am under the impression that the speed boost of if isn't particularly interesting since it isn't something that can easily be harnessed through vectorization. Nov 11, 2022 · R Using ifelse inside dplyr filter Asked 2 years, 2 months ago Modified 2 years, 2 months ago Viewed 393 times Jan 29, 2020 · I have an R dataframe, and I would like to filter by the value of a column if a condition is met in another column else the value shouldn't be filetered, and I would ideally do this using Dplyr. Jul 25, 2021 · Are you trying to iterate over each column in the data set to determine avgLWdiff? @user2554330 seems to have a working example that does what you're asking, but the workflow you've got here appears to be "untidy. How to get rid of the else output when using the ifelse function in R - 4 R programming examples - Detailed R syntax in RStudio How could we apply certain functions conditionally without leaving the pipeflow? This way: df %>% { if(apply_filter == TRUE) filter(. How can we filter the data by the following condition: when date1 is in between start_date and current_date or date2 is in between stop_date and current_date or … I'm a very novice R programmer, and I'm trying to convert old SAS code to R. dplyr::if_else is safer than base ifelse. This makes sense because the latter statements accepts a logical statement as its input -- we just use the former statement to control the value of the input. R is a data science and data analysis language that deals with vectors all the time. Contribute to tidyverse/dplyr development by creating an account on GitHub. Jul 21, 2025 · To filter rows in a data frame using R, we can apply conditions directly to the columns. Sep 6, 2025 · Learn how to use dplyr if_else () in R to build conditional columns, handle missing values, and ensure type-safe data wrangling. Sep 1, 2022 · I am trying to make two new column in an already existing R data. 1 Introduction In the last lesson, you learned the basics of data transformation using the {dplyr} function mutate(). Flowchart if-else statement in R R - if-else statement Conditions and If Statements Here we will show the use of logical conditions in if statements. In this lesson, you’ll become confident . May 8, 2024 · This tutorial explains how to check if a string contains specific characters in R, including several examples. My question is similar to this one: Using ifelse on factor in R ut no one has answered that question. data &lt;- c(&quot;pig&quot;,99,& Feb 19, 2021 · Apply the ifelse function across a range of multiple R data frame columns. Similar to this concept, there is a vector equivalent form of the if…else statement in R, the ifelse() function. This is an example of my dataframe: Jul 23, 2025 · In R, this can be accomplished using various methods, including ifelse (), if statements within loops, and logical indexing. , converting numerically-encoded variables to categorical/character versions, and vice versa. Jul 30, 2023 · Somehow only recently did I realise that you can use if statements directly within R ’s dplyr library filter function. The idea of “if else” basically is: If something meets a condition, do this; else, do that. Sep 1, 2015 · When trying to use column names stored in variables, shortcuts like $, with, within, subset, etc. Feb 6, 2021 · But if the constants Cb are equal to 0, then this particular filter is excluded in the multiple set of filters (and the other filters still may apply). The filter () function is used to subset a data frame, retaining all rows that satisfy your conditions. data &lt;- c(&quot;pig&quot;,99,& Sep 1, 2015 · When trying to use column names stored in variables, shortcuts like $, with, within, subset, etc. Something that gets rid of the repetitive == "value1 in var4 == "value1" | var5 == "value1. Flux evaluates statements from left to right and stops evaluating once a condition matches. Why Per other answers, one can include if statements in pipes and within dplyr functions. In this lesson, we will look at how to conditionally manipulate certain rows based on whether or not they meet defined criteria. In simple words, using a case when statement we evaluate a condition expression, and based on that we make decisions. Feb 17, 2023 · This tutorial explains how to use the mutate() function in dplyr based on multiple conditions, including examples. If you inherently read it differently you have a wrong mental model of R. Jul 15, 2025 · The else block or the body inside the else is executed. We will also show you how to use the ifelse function, the vectorized version of the if else condition in R. Oct 16, 2019 · Fast and Readable 'If Else' in R 16 Oct 2019 As I’ve spent time learning about different approaches to working with data, I’ve seen several subtle, but important, differences in how to do things. Flow exits the if-else block. Whether you”re filtering data, categorizing observations, or building complex algorithms, understanding how to use if-else constructs is a core skill. Jun 20, 2018 · if_else(n() > 5066, sample_n(size = 5000, replace = F), filter()) I'm pretty new to dplyr and still getting familiar with R in general. This function performs an elementwise if…else check on the vector and returns a result vector based on the conditions. For example, the following filter finds all daytime departures that arrive roughly on time: Dec 15, 2020 · This question shows research effort; it is useful and clear Jul 15, 2022 · This tutorial explains how to use the select_if function in dplyr with multiple conditions, including examples. Jan 16, 2016 · I am writing a shiny app where the output should depend on the value of a variable which is calculated in a reactive expression in shiny. 1 Introduction Data wrangling often involves applying the same operations separately to different groups within the data. The filter () function is used to produce a subset of the data frame, retaining all rows that satisfy the specified conditions. Don’t leave the pipeflow Pablo Cánovas 2019-11-02 R, Tips This guide describes how to use Flux conditional expressions, such as if, else, and then, to query and transform data. It may be that L is sufficient for your needs but if not then the last line simplifies it to a vector and replaces zero length elements with NA. To make decision-making quicker with vectorized data, there’s a built-in ifelse function you can call on vectors. So, if the condition provided to the if statement is true, then the statements in the if statement block are executed, else the statements in the else If you’re just getting started with Flux queries, check out the following: Get started with Flux for a conceptual overview of Flux and parts of a Flux query. Syntax: filter (data_frame, condition) Parameters: data_frame: The input data frame or tibble. I know that ansible use when for their If… In R, the ifelse () function is a shorthand vectorized alternative to the standard ifelse statement. Usage filter(. Sep 1, 2025 · Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more. Each case is evaluated sequentially and the first match for each element determines the corresponding value in the output vector. When there are two rows with the latest dates, I then need to filter based on the test result: If the max (test) >= 60 I want to select the row wi… Jan 30, 2025 · Master the 'ifelse' function in R with multiple conditions. So my question: what am I doing wrong with my if else line or script? Or is there an alternative way to do this. Aug 8, 2025 · Learn to master conditional filtering in R. For example, you can use the following basic syntax to filter for rows in a data frame in R that satisfy condition 1 or condition 2: df[(condition1) | (condition2), ] The following examples show how to use this “OR” operator in different scenarios. That is to say, if is only advantageous over ifelse when the cond / test The if and else in R are conditional statements. However for filter, it seems like one needs to use an else rather than just an if, otherwise the filter will re if_else() is a vectorized if-else. Oct 29, 2024 · In this document, you will learn how to “recode” variables by replacing values in a variable with other values of your choice, e. dplyr: A grammar of data manipulation. g. I've googled this and t Sep 1, 2020 · Learn to use if-else statements, for loops, and while loops to build complex conditional programs in R, a valuable skill for aspiring data scientists. Execute queries to discover a variety of ways to run your queries. 4. P. Chapter 10 dplyr - data manipulation While base R has many tools that can do the job, dplyr and other Tidyverse packages can easily work together and allow the easy creation of pipelines to accomplish a task as was demonstration in the previous chapter 8. 0. This 2025 guide shows you how to filter grouped data using if-else logic with dplyr in just 3 simple steps. 1 Exercises (use practice dataset): Create a new variable called Group where Subject 1 is in GroupA, Subject 2 is in GroupB, and Subject 3 is in GroupC using: Two ifelse() statements Three ifelse() statements Why can’t we just use one ifelse() statement here? Create a new variable called Acceptable with yes or no values using ifelse(). This pattern, sometimes called “split-apply-combine”, is easily accomplished in {dplyr} by chaining the group_by() verb with other wrangling verbs like filter(), mutate(), and arrange() (all of which you have seen before!). Unfortunately our users are on the low end of tech ability so I have to continuously remind them to select "See just mine" or show them how to remove all filters. Jun 5, 2019 · so I have LARGE dataset but need to implement a complex system of filtering of the data. In the case of my dataframe, I would like to filter those values (third column) lesser than 1 only in those cases in which type is "real". This guide describes how to use Flux conditional expressions, such as if, else, and then, to query and transform data. For example, suppose we want to check whether a I suggest that in each if and if else clause, you add yourself print statements that say which clause you are in, and the condition of the contributors to the if condition . if…else statement is an extension of if statement with an else block. , condition) else . condition: The logical condition used to filter I'm having trouble restricting a dataset based on an if else condition. I've seen many posts on this website that use if/else conditions for a filter, but never one with multiple conditions inside a si Jun 28, 2018 · I have a dataframe of students with a school ID. That way you can understand what you set up We would like to show you a description here but the site won’t allow us. Sometimes it is necessary to do calculations by a condition. In this blog post, we discussed if-else statements, nested if-else statements, comparison operators, logical operators, and vectorized conditional statements in R. " Other than some hard coded if else params, can you describe what the for loop is doing for you? May 30, 2016 · Continue to help good content that is interesting, well-researched, and useful, rise to the top! To gain full voting privileges, Chapter 10 dplyr - data manipulation While base R has many tools that can do the job, dplyr and other Tidyverse packages can easily work together and allow the easy creation of pipelines to accomplish a task as was demonstration in the previous chapter 8. I think I could use dplyr and group_by but I am hitting a wall with how to get the IF statement implemented Jan 23, 2022 · There have been a couple other posts (e. 2 Comparisons A very common way to create a logical vector is via a numeric comparison with <, <=, >, >=, !=, and ==. 12. So far, we’ve mostly created logical variables transiently within filter() — they are computed, used, and then thrown away. See if the below code works, where we insert the if-else condition in the filter statement. This function allows you to vectorise multiple if_else() statements. Jun 8, 2020 · Learn in detail about the ifelse() function, including syntax, along with finding whether a number is odd or even, and finally, with an example to see whether a student passed or failed their exam. Filter null values Aug 2, 2019 · Issue class coercion filtered R data. Feb 11, 2022 · Seeing that you already use the tidyverse, you can use dplyr::case_when that is intended exactly for your case. Sep 2, 2022 · You can use the | symbol as an “OR” operator in R. Jul 23, 2025 · n R, errors in 'if' statements can arise due to a variety of reasons, such as improper syntax, incorrect comparison, or attempting to use 'if' inappropriately in certain contexts. In this tutorial, you will learn about the ifelse () function in R with examples. You can modify your function to provide L as below: Oct 20, 2021 · I'm trying to use an if else statement and the filter function to clean some data and get rid of values that are too high. What I want, is to put an ifelse statement into the filter line, where if group == school, filter the data, of group == board, then do not filter the data, School <- c ("School A How to apply the if_else dplyr function in R - 2 example codes - Reproducible R programming syntax - dplyr package explained - if_else vs. Jul 23, 2025 · In this article, we will learn how can we filter dataframe by multiple conditions in R programming language using dplyr package. It helps us work with only the data we need, making analysis easier and faster. Apr 6, 2021 · I would like to filter the dataframe in one of two ways - by Days_Used or the number of times the questionnaire is filled (i. Don’t leave the pipeflow Pablo Cánovas 2019-11-02 R, Tips Jun 7, 2021 · This tutorial explains how to use the case_when() function from the dplyr package in R, including several examples. frame, and putting in characters using using if else statements: Grepl funtion use in Filter command and If Else Statement in R * PLEASE SUBSCRIBE THE PK TUTORIAL*************Watch our other videos On PK Tutorial:- ****** Hi everyone, I just started learning about ansible. S. Below (MRE), I want to filter Toyota but then I would want Toyota to execute with the 2 days ago · While basic dictionary comprehensions are straightforward, adding **if/else conditions** unlocks even more flexibility—enabling you to filter entries, transform values, or conditionally assign keys/values in a compact form. Apr 7, 2022 · This tutorial explains how to use the is. The final data set should look like this: 7. Basically, I would like to have the following code (u This function allows you to vectorise multiple if_else() statements. If else statement syntax in R The if else clause is very intuitive. Past versions of dplyr included powerful variants of filter, select, and other functions to help perform tasks across columns. 2. This vectorization of code will be much faster than applying the same function to each element of the vector individually. Aug 8, 2025 · Struggling with conditional filtering on grouped data in R? Learn to debug and fix common errors using dplyr's if_else and case_when for 2025 best practices. We will introduce two functions for doing this: if_else() which can be used to create binary variables (variables with just two distinct values) based on a logical How to apply the if, else and ifelse functions in R - 4 R programming examples - Reproducible info - R programming tutorial R If Else In this tutorial, we shall learn about R if…else statement, its Syntax and the Execution Flow in and around the if…else statement with an R Example Script. You need to define one or more conditions you would like to meet to run some We would like to show you a description here but the site won’t allow us. Oct 3, 2024 · I know my language is a little confusing in the question, but I'm not sure the exact terminology for asking it. Learn how to use IF within the FILTER function in Google Sheets, step-by-step. Instead of reproducing the actual app I believe I have recr Dec 4, 2021 · Question How can dplyr's if_else() function be used such that its output is a function? With ifelse() from base this is trivial but with if_else() something goes wrong. ifelse Feb 2, 2021 · Minor release with major performance improvements for `across()` and two new functions `if_any()` and `if_all()`. Dec 16, 2019 · Setting up leaflet map in R using if/else if/else filtering Ask Question Asked 5 years, 9 months ago Modified 5 years, 9 months ago Feb 24, 2023 · This tutorial explains how to use the grepl() function in R with multiple patterns, including examples. Discover how to create powerful conditional statements, harnessing the full potential of this versatile tool. Let”s dive deep into how you can effectively use these powerful tools in your R programming journey. Use exists with row functions ( filter(), map(), reduce()) to check if a row includes a column or if the value for that column is null. Thanks in advance! edit: Pretty much I would like the output from the following code but in one line of code. I am currently using logstash version 7. Adjust the values and conditions as needed for our specific requirements. The ifelse() function Mar 14, 2016 · I am building a widget on Shiny, and I would like to have the option "all" to select all of the data available, and don't perform a filtering. } %>% The fact that if…else in R has a value and can be used in an expression is a core semantic of R, and using if…else inside an expression is idiomatic R. Jan 11, 2018 · I am looking for a condition in an if-else statement. My issue here is to update and new values to the keywords, Below is my logstash configuration file input { http { host => "0. Compared to the base R equivalent, ifelse(), this function allows you to handle missing values in the condition with missing and always takes true, false, and missing into account when determining what the output type should be. In a sense, the ifelse function is a replacement for combining a for loop This guide describes how to use Flux conditional expressions, such as if, else, and then, to query and transform data. filter: Subset rows using column values Description The filter() function is used to subset a data frame, retaining all rows that satisfy your conditions. The final data set should look like this: Nov 2, 2019 · Conditional Pipes Conditional pipes in R Tidyverse. May 19, 2016 · I want to use an if else statement to set the rows with unuseable data to NA. Oct 20, 2021 · I'm trying to use an if else statement and the filter function to clean some data and get rid of values that are too high. Conclusion In conclusion, conditional statements are crucial in R programming as they allow us to make decisions and execute specific code blocks based on predefined conditions. Example 1: Use “OR” Operator to Filter Rows Based on Numeric Values in R Suppose we Sep 26, 2019 · Please consider reprex and 2 attempts to solve this. Oct 4, 2020 · Conditional Slicing of Rows in R [duplicate] Asked 5 years, 1 month ago Modified 5 years, 1 month ago Viewed 2k times 12. This very short post is presenting how one can perform vectorized “if else” functions in R.