WebAug 13, 2015 · Add a comment. 1. aggregate () should work, as the previous answer suggests. Another option is with the plyr package: count (yourDF,c ('id')) Using more columns in the vector with 'id' will subdivide the count. I believe ddply () (also part of plyr) has a summarize argument which can also do this, similar to aggregate (). WebOct 30, 2024 · I want to counts number of rows with certain columns equal to specific value. Below is a section of the input file: The first row is the header. I want to count the number of rows that column 1 equal to 2002, column 3 equal to Female, column 4 equal to 18--20, column 8 equal to CO. I tried the below command:
r - Count number of occurences for each unique value
WebMay 21, 2024 · The total number of rows per UserID is easy, you just need to use COUNT(*).As for the other column, then, assuming Name cannot be null, you need to count distinct Name values and compare the result to 1. To explain: if all names are identical, COUNT(DISTINCT Name)) will return 1, otherwise it will return a different number. Thus, … Web644 views, 16 likes, 11 loves, 133 comments, 16 shares, Facebook Watch Videos from Glad Tidings International Church of God in Christ: God Bless you! Join us today April 2, 2024 and every Sunday here... can an xray see a tampon
Counting number of instances of a condition per row R
WebMar 23, 2024 · I want to populate a Total Coupons Used column with the count of TRUE values that appeared for that customer in the Used [item] Coupon columns. So CustomerID 1 should have a count of 1, CustomerID 4 should have a count of 3, CustomerID 6 should have a count of 0 — you get the idea. Let’s see how to do this in Power Query. WebFeb 12, 2024 · I want to count those Xs in the first column which the number in the next row in the second column is 1. So it should count Xs in the first and fourth rows, but it should not count the X in the third row. Any advice would be greatly appreciated. WebMar 10, 2024 · Method 1: Count Non-NA Values in Entire Data Frame. The following code shows how to count the total non-NA values in the entire data frame: #count non-NA … can an xray show a blood clot