c_sum: c_sum() computes the cluster sum for a given variable, and a...
In dacarras/r4sda: Collection of functions to produce descriptives analysis of secondary data and large scale assessments studies
c_sum R Documentation
c_sum() computes the cluster sum for a given variable, and a given clustering variable
Description
c_sum() computes the cluster sum for a given variable, and a given clustering variable
Usage
c_sum(x, j)
Arguments
x
a numeric vector of a single variable
Details
simple wrapper for 'ave(variable, group)' function, to estimate cluster sum
Value
a numeric vector
Examples
library(dplyr)
example_data <- data.frame(x = c(1,2,3,4,5,6), j = c(1,1,1,2,2,2))
example_data %>%
mutate(cluster_sum = c_sum(x, j)) %>%
select(cluster_sum, j) %>%
unique() %>%
print
dacarras/r4sda documentation built on Nov. 9, 2023, 10:17 a.m.
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| c_sum | R Documentation |
c_sum() computes the cluster sum for a given variable, and a given clustering variable
Description
c_sum() computes the cluster sum for a given variable, and a given clustering variable
Usage
c_sum(x, j)
Arguments
x |
a numeric vector of a single variable |
Details
simple wrapper for 'ave(variable, group)' function, to estimate cluster sum
Value
a numeric vector
Examples
library(dplyr)
example_data <- data.frame(x = c(1,2,3,4,5,6), j = c(1,1,1,2,2,2))
example_data %>%
mutate(cluster_sum = c_sum(x, j)) %>%
select(cluster_sum, j) %>%
unique() %>%
print
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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