dispersion: Calculating cross-sectional measures of forecast dispersion
In joergrieger/Survey: Download data from the Survey of Professional Forecasters
Description
Usage
Arguments
Details
Value
Examples
Description
Calculating cross-sectional measures of forecast dispersion
Usage
1
2
3
4
dispersion(obj, ...)
## S3 method for class 'survey'
dispersion(surveyObj, method = 1)
Arguments
surveyObj
an object of class survey
method
the dispersion measure
Details
Computes dispersion measures for forecasters.
1Interquartile Range
2Standard deviation
3Interquartile Range on Q/Q-growth
Value
The function returns an object of class ts
Examples
1
2
tmp <- individualSPF(survey = "CPI", variable = "CPI3")
dsp <- dispersion(tmp,method = 2)
joergrieger/Survey documentation built on Nov. 15, 2020, 12:53 a.m.
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Description Usage Arguments Details Value Examples
Description
Calculating cross-sectional measures of forecast dispersion
Usage
1 2 3 4 | dispersion(obj, ...)
## S3 method for class 'survey'
dispersion(surveyObj, method = 1)
|
Arguments
surveyObj |
an object of class survey |
method |
the dispersion measure |
Details
Computes dispersion measures for forecasters.
1Interquartile Range
2Standard deviation
3Interquartile Range on Q/Q-growth
Value
The function returns an object of class ts
Examples
1 2 | tmp <- individualSPF(survey = "CPI", variable = "CPI3")
dsp <- dispersion(tmp,method = 2)
|
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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