| count {SparkR} | R Documentation |
This can be used as a column aggregate function with Column as input,
and returns the number of items in a group.
Count the number of rows for each group when we have GroupedData input.
The resulting SparkDataFrame will also contain the grouping columns.
## S4 method for signature 'Column' count(x) ## S4 method for signature 'Column' n(x) count(x) n(x) ## S4 method for signature 'GroupedData' count(x)
x |
a GroupedData or Column. |
A SparkDataFrame.
count since 1.4.0
n since 1.4.0
count since 1.4.0
Other agg_funcs: agg, agg,
agg, agg,GroupedData-method,
agg,SparkDataFrame-method,
summarize, summarize,
summarize,
summarize,GroupedData-method,
summarize,SparkDataFrame-method;
avg, avg,
avg,Column-method;
countDistinct, countDistinct,
countDistinct,Column-method,
n_distinct, n_distinct,
n_distinct,Column-method;
first, first,
first,
first,SparkDataFrame-method,
first,characterOrColumn-method;
kurtosis, kurtosis,
kurtosis,Column-method; last,
last,
last,characterOrColumn-method;
max, max,Column-method;
mean, mean,Column-method;
min, min,Column-method;
sd, sd,
sd,Column-method, stddev,
stddev, stddev,Column-method;
skewness, skewness,
skewness,Column-method;
stddev_pop, stddev_pop,
stddev_pop,Column-method;
stddev_samp, stddev_samp,
stddev_samp,Column-method;
sumDistinct, sumDistinct,
sumDistinct,Column-method;
sum, sum,Column-method;
var_pop, var_pop,
var_pop,Column-method;
var_samp, var_samp,
var_samp,Column-method; var,
var, var,Column-method,
variance, variance,
variance,Column-method
## Not run: count(df$c) ## Not run: n(df$c) ## Not run: count(groupBy(df, "name")) ## End(Not run)