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Weighted mean with summarise_at dplyr
Using the GA R package to optimize the weights of a MLP neural networkColoring labels using scatterplot3d in RHow to Return Mean Response Values using dplyr and SQL Server R Services?Which tool should I use for combining this large dataset?R summarise with conditionCan Expectation Maximization estimate truth and confusion matrix from multiple noisy sources?Calculate weighted mean for two columns and hundreds of rows?Divide a column by itself with mutate_at dplyr
$begingroup$
I strictly need to use the summarise_at to compute a weighted mean, with weights based on the values of another column
df %>% summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=INVESTMENT, na.rm=TRUE)
It always shows the error: 'INVESTMENT' is not found.
I then tried with:
df %>%summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=vars(INVESTMENT), na.rm=TRUE)
But in this case : Evaluation error: 'x' and 'w' must have the same length.
Why is this? Am I doing anything wrong? Do you have hints to solve this issue? Thanks
r data-mining dataset dplyr
asked Feb 6 at 9:24
3nomis3nomis
1929
$endgroup$
add a comment |
$begingroup$
I strictly need to use the summarise_at to compute a weighted mean, with weights based on the values of another column
df %>% summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=INVESTMENT, na.rm=TRUE)
It always shows the error: 'INVESTMENT' is not found.
I then tried with:
df %>%summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=vars(INVESTMENT), na.rm=TRUE)
But in this case : Evaluation error: 'x' and 'w' must have the same length.
Why is this? Am I doing anything wrong? Do you have hints to solve this issue? Thanks
r data-mining dataset dplyr
asked Feb 6 at 9:24
3nomis3nomis
1929
$endgroup$
add a comment |
$begingroup$
I strictly need to use the summarise_at to compute a weighted mean, with weights based on the values of another column
df %>% summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=INVESTMENT, na.rm=TRUE)
It always shows the error: 'INVESTMENT' is not found.
I then tried with:
df %>%summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=vars(INVESTMENT), na.rm=TRUE)
But in this case : Evaluation error: 'x' and 'w' must have the same length.
Why is this? Am I doing anything wrong? Do you have hints to solve this issue? Thanks
r data-mining dataset dplyr
asked Feb 6 at 9:24
3nomis3nomis
1929
$endgroup$
I strictly need to use the summarise_at to compute a weighted mean, with weights based on the values of another column
df %>% summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=INVESTMENT, na.rm=TRUE)
It always shows the error: 'INVESTMENT' is not found.
I then tried with:
df %>%summarise_at(.vars = vars(FACTOR,tv:`smart tv/console`),
.funs = weighted.mean, w=vars(INVESTMENT), na.rm=TRUE)
But in this case : Evaluation error: 'x' and 'w' must have the same length.
Why is this? Am I doing anything wrong? Do you have hints to solve this issue? Thanks
r data-mining dataset dplyr
r data-mining dataset dplyr
asked Feb 6 at 9:24
3nomis3nomis
1929
asked Feb 6 at 9:24
3nomis3nomis
1929
asked Feb 6 at 9:24
3nomis3nomis
1929
asked Feb 6 at 9:24
3nomis3nomis
1929
asked Feb 6 at 9:24
3nomis3nomis
1929
1929
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
You can specify the weights directly within the weighted.mean() function, within the call to funs() like so:
data.frame(x=rnorm(100), y=rnorm(100), weight=runif(100)) %>%
summarise_at(vars(x,y), funs(weighted.mean(., w=weight)))
answered Mar 18 at 6:27
mmkmmk
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
You can specify the weights directly within the weighted.mean() function, within the call to funs() like so:
data.frame(x=rnorm(100), y=rnorm(100), weight=runif(100)) %>%
summarise_at(vars(x,y), funs(weighted.mean(., w=weight)))
answered Mar 18 at 6:27
mmkmmk
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
You can specify the weights directly within the weighted.mean() function, within the call to funs() like so:
data.frame(x=rnorm(100), y=rnorm(100), weight=runif(100)) %>%
summarise_at(vars(x,y), funs(weighted.mean(., w=weight)))
answered Mar 18 at 6:27
mmkmmk
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
You can specify the weights directly within the weighted.mean() function, within the call to funs() like so:
data.frame(x=rnorm(100), y=rnorm(100), weight=runif(100)) %>%
summarise_at(vars(x,y), funs(weighted.mean(., w=weight)))
answered Mar 18 at 6:27
mmkmmk
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
You can specify the weights directly within the weighted.mean() function, within the call to funs() like so:
data.frame(x=rnorm(100), y=rnorm(100), weight=runif(100)) %>%
summarise_at(vars(x,y), funs(weighted.mean(., w=weight)))
answered Mar 18 at 6:27
mmkmmk
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Mar 18 at 6:27
mmkmmk
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered Mar 18 at 6:27
mmkmmk
101
answered Mar 18 at 6:27
mmkmmk
101
101
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
mmk is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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