R – Count number of rows matching a criteria – Stack Overflow

R: The Number of Rows/Columns of an Array

nrow and ncol return the number of rows or columns present in x . NCOL and NROW do the same treating a vector as 1column matrix.

How do I get the number of rows of a data.frame in R? – Cross …

To get the number of cases, count the number of rows using nrow() or NROW() : > nrow(dataset) [1] 1000 > NROW(dataset) [1] 1000. To count the data after omitting the NA , use the same tools, but wrap dataset in na.omit() : > NROW(na. omit(dataset)) [1] 993. The difference between NROW() and NCOL() …

R: Number of rows for a DataFrame

nrow {SparkR}, R Documentation. Number of rows for a DataFrame. Description. Returns number of rows in a DataFrames. Usage. ## S4 method for signature ‘ DataFrame’ nrow(x). [Package SparkR version 1.5.1 Index]

R – Count number of rows matching a criteria – Stack Overflow

sum is used to add elements; nrow is used to count the number of rows in a rectangular array (typically a matrix or data.frame); length is used to count the number of elements in a vector. You need to apply these functions correctly.

In R, How to calculate row count of a data frame depending on …

nrow(df[df$origin == 2,]) # or slightly quicker length(df[df$origin == 2, 1]) # subset will be marginally quicker. Or as @akrun has above.

R – Row count in a dataframe according to a condition – Stack Overflow

n < 10 set.seed(0) dat < data.frame(x=rnorm(n), y=rnorm(n), z=rnorm(n)) dat$ count < rowSums(dat > 0) dat xy z count 1 1.262954285 0.7635935 0.22426789 2 2 0.326233361 0.7990092 0.37739565 1 3 1.329799263 1.1476570 0.13333636 2 4 1.272429321 0.2894616 0.80418951 2 5 …

R – Display in data.frame a conditional row count by group – Stack …

If you group_by using only type , you can sum the rows when year == 2015 . data %>% group_by(type) %>% mutate(freq2015 = sum(year == 2015)) Source: local data frame [5 x 4] Groups: type [2] obs year type freq2015

Dataframe – count number of rows in a data frame in R based on group

Here’s an example that shows how table(.) (or, more closely matching your desired output, data.frame(table(.)) does what it sounds like you are asking for. Note also how to share reproducible sample data in a way that others can copy and paste into their session. Here’s the (reproducible) sample data:

R: count NAs per row in dataframe – Stack Overflow

You could add a new column to your data frame containing the number of NA values per batch_id : df$na_count < apply(df, 1, function(x) sum(is.na(x))) ...

RowCount function | R Documentation

Value. freq the number of rows group the data frame with a column named row. no giving unique labels for all unique rows. Aliases. rowCount. Examples. df < data.frame(V1=c(1L,2L),V2=LETTERS[1:3],V3=rep(1,12)) rowCount(df) Documentation reproduced from package GDINA, version 1.4.2, License: GPL3. Community ...