WebTwo alternatives: 1: with base R: # option 1: df$count <- ave (df$var1, df$var1, df$group, FUN = length) # option 2: df <- transform (df, count = ave (var1, var1, group, FUN = length)) which gives: > df group var1 count 1 1 1 4 2 1 1 4 3 1 1 4 4 1 1 4 5 1 2 1 6 2 1 1 7 2 2 3 8 2 2 3 9 2 2 3 10 2 3 1 2: with data.table:
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WebJan 29, 2024 · You can use it with a data frame: df <- data.frame (some_col = c (1,2,3,4), another_col = c (4,5,6,7) ) data.table::uniqueN (df [ ['some_col']]) [1] 4 or if you already have a data.table dt <- setDT (df) dt [,uniqueN (some_col)] [1] 4 Share Follow answered Feb 4, 2024 at 8:31 Martin 1,074 9 14 Add a comment 0 Here is another option: WebNov 18, 2010 · If you have multiple factors (= a multi-dimensional data frame), you can use the dplyr package to count unique values in each combination of factors: library ("dplyr") data %>% group_by (factor1, factor2) %>% summarize (count=n ()) It uses the pipe operator %>% to chain method calls on the data frame data. Share Improve this answer …
WebMar 26, 2024 · vars is not an argument in count. You need either count (trips, gender) or count_ (trips, vars = "gender"). – Henrik Mar 26, 2024 at 14:59 @RonakShah ; no no , base R is deprecated – user20650 Mar 26, 2024 at 17:00 Add a comment 2 Answers Sorted by: 1 For the females type: sum (trips$gender=='Female') For the males type sum … WebSep 21, 2024 · 3 Answers Sorted by: 14 Using also the tidyr package, the following code will do the trick: dat %>% tidyr::gather (name, city) %>% dplyr::group_by (name, city) %>% dplyr::count () %>% dplyr::ungroup %>% tidyr::spread (name, n) Result:
WebMay 30, 2024 · The count () method of this package is used to return a frequency count of the variable contained in the specified columns respectively. It may contain multiple columns, and all the possible combinations are generated as per the cross join. The unique combinations out of the them are returned along with their respective counts. WebNov 16, 2024 · The count () function has a fairly simple syntax as follows: count (x, vars, wt, sort, name) In this: x is the R data frame, dtplyr/dbplyr lazy data frame, or the tibble (a data frame extension) you want to …
The following code shows how to count the number of occurrences of each value (including NA values) in the ‘points’ column: This tells us: 1. The value 20 appears 1 time. 2. The value 22 appears 1 time. 3. The value 26 appears 1 time. 4. The value 30 appears 2 times. 5. The value NA (missing value) appears 1 … See more The following code shows how to count the number of occurrences of each value in the ‘team’ column: This tells us: 1. The team name ‘Mavs’ appears 2 times. 2. The team name ‘Nets’ appears 3 times. 3. The team name ‘Suns’ … See more The following code shows how to count the number of occurrences of the value 30 in the ‘points’ column: This tells us that the value 30 appears 2 … See more
WebSep 10, 2024 · To look at two variables in a crosstab report, simply add a second column name and palette or color if you don’t want the default. You can use the plain option or specify two palettes or two... melatonin natural food sourcesWebJul 13, 2024 · With data.frame, length implies the number of columns because a data.frame is a list with elements having equal number of observations with some attributes.. So, it is similar to length of a list i.e. the number of elements or columns. Using length can have different output depending on the class. napp resource pack minecraft bedrockWebDec 16, 2015 · Then make comparisons and count: cnts <- colSums (apply (uncs, 1, function (r) apply (dt, 1, function (r2) all (r == r2)))) cbind (comb = apply (uncs, 1, paste), n = cnts) Share Follow answered Dec 16, 2015 at 12:54 CJB 1,749 17 26 Add a comment 2 The dplyr solution above could have been done easier with group_by_all ()... nappropriate bypassed robloxdisordWebcount function - RDocumentation count: Count the number of occurences. Description Equivalent to as.data.frame (table (x)), but does not include combinations with zero … napp rocket leagueWebNov 27, 2010 · How to count number of Numeric values in a column. I have a dataframe, and I want to produce a table of summary statistics including number of valid numeric … napp resource pack minecraft downloadWebMay 30, 2024 · The output returned is in the form of a data frame where the first column gives the column names assigned to the data frame and the second column displays … melatonin natrol side effectsWebAug 18, 2016 · I want to count number of zeros in each column in a R data frame and express it as a percentage. This percentage should be added to last row of the original data frame? example x <- c (0, 4, 6, 0, 10) y <- c (3, 0, 9, 12, 15) z <- c (3, 6, 9, 0, 15) data_a <- cbind (x,y,z) want to see the zeros in each column and express as percentage Thanks r nappsbury road luton