cov {SparkR} | R Documentation |
Compute the sample covariance between two expressions.
Calculate the sample covariance of two numerical columns of a SparkDataFrame.
cov(x, ...) covar_samp(col1, col2) ## S4 method for signature 'characterOrColumn' cov(x, col2) ## S4 method for signature 'characterOrColumn,characterOrColumn' covar_samp(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 |
The covariance of the two columns.
cov since 1.6.0
covar_samp since 2.0.0
cov since 1.6.0
Other math_funcs: acos
, asin
,
atan2
, atan
,
bin
, bround
,
cbrt
, ceil
,
conv
, corr
,
cosh
, cos
,
covar_pop
, expm1
,
exp
, factorial
,
floor
, hex
,
hypot
, log10
,
log1p
, log2
,
log
, pmod
,
rint
, round
,
shiftLeft
,
shiftRightUnsigned
,
shiftRight
, signum
,
sinh
, sin
,
sqrt
, tanh
,
tan
, toDegrees
,
toRadians
, unhex
Other stat functions: approxQuantile
,
corr
, crosstab
,
freqItems
, sampleBy
## Not run:
##D cov(df$c, df$d)
##D cov("c", "d")
##D covar_samp(df$c, df$d)
##D covar_samp("c", "d")
## End(Not run)
## Not run:
##D df <- read.json("/path/to/file.json")
##D cov <- cov(df, "title", "gender")
## End(Not run)