| cov {SparkR} | R Documentation |
Compute the covariance between two expressions.
cov(x, ...) covar_samp(col1, col2) covar_pop(col1, col2) ## S4 method for signature 'characterOrColumn' cov(x, col2) ## S4 method for signature 'characterOrColumn,characterOrColumn' covar_samp(col1, col2) ## S4 method for signature 'characterOrColumn,characterOrColumn' covar_pop(col1, col2) ## S4 method for signature 'SparkDataFrame' cov(x, colName1, colName2)
x |
a Column or a SparkDataFrame. |
... |
additional argument(s). If |
col1 |
the first Column. |
col2 |
the second Column. |
colName1 |
the name of the first column |
colName2 |
the name of the second column |
cov: Compute the sample covariance between two expressions.
covar_sample: Alias for cov.
covar_pop: Computes the population covariance between two expressions.
cov: When applied to SparkDataFrame, this calculates the sample covariance of two
numerical columns of one SparkDataFrame.
The covariance of the two columns.
cov since 1.6.0
covar_samp since 2.0.0
covar_pop since 2.0.0
cov since 1.6.0
Other aggregate functions:
avg(),
column_aggregate_functions,
corr(),
count(),
first(),
last()
Other stat functions:
approxQuantile(),
corr(),
crosstab(),
freqItems(),
sampleBy()
## Not run:
##D df <- createDataFrame(cbind(model = rownames(mtcars), mtcars))
##D head(select(df, cov(df$mpg, df$hp), cov("mpg", "hp"),
##D covar_samp(df$mpg, df$hp), covar_samp("mpg", "hp"),
##D covar_pop(df$mpg, df$hp), covar_pop("mpg", "hp")))
## End(Not run)
## Not run:
##D cov(df, "mpg", "hp")
##D cov(df, df$mpg, df$hp)
## End(Not run)