misa_prepare_data: Prepare MiSa Data for MiSa Assessment
In KWB-R/kwb.misa: Functions to be Used in Project MiSa
View source: R/misa_prepare_data.R
misa_prepare_data R Documentation
Prepare MiSa Data for MiSa Assessment
Description
Timestamps are adapted, oxygen data is interpolated, it is filtered for
summmer months
Usage
misa_prepare_data(df_MiSa, res = 15, max_na_interpolation = 60/res)
Arguments
df_MiSa
Data frame loaded with one of the MiSa Load functions
res
Temporal resolution in minutes
max_na_interpolation
Maximal numbers of NA values in a row to be
interpolated. The default is one hour without measurements. Number of NA
depneds on the temporal resolution (60 / res)
Value
List with data frames per site, that is ready for MiSa Assessmen. Additional
information is printed about the number of interpolated NA values. If there
are many NA values that are not interpolated it is probably due to the fact
of no measurements during winter.
KWB-R/kwb.misa documentation built on March 18, 2022, 9:56 a.m.
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View source: R/misa_prepare_data.R
| misa_prepare_data | R Documentation |
Prepare MiSa Data for MiSa Assessment
Description
Timestamps are adapted, oxygen data is interpolated, it is filtered for summmer months
Usage
misa_prepare_data(df_MiSa, res = 15, max_na_interpolation = 60/res)
Arguments
df_MiSa |
Data frame loaded with one of the MiSa Load functions |
res |
Temporal resolution in minutes |
max_na_interpolation |
Maximal numbers of NA values in a row to be interpolated. The default is one hour without measurements. Number of NA depneds on the temporal resolution (60 / res) |
Value
List with data frames per site, that is ready for MiSa Assessmen. Additional information is printed about the number of interpolated NA values. If there are many NA values that are not interpolated it is probably due to the fact of no measurements during winter.
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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