gapsz: Identify gaps in time series of depth profiles
In fawda123/EstuaryMetabolism: Estimate metabolic rates in estuaries
Description
Usage
Arguments
Details
Value
Description
Identify gaps in time series of depth profiles
Usage
1
gapsz(x)
Arguments
x
data.frame of profile time series in long format
Details
A gap is defined as missing values for all depths for a single date.
Value
A data.frame with one row per time step and three columns indicating if all profiles are missing for the time step (misi, TRUE or FALSE, a unique identifier for the chunk (mval, lower-case if chunk is complete data, upper-case if missing data), and number of time observations in the chunk (n).
fawda123/EstuaryMetabolism documentation built on May 16, 2019, 10:57 a.m.
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Description Usage Arguments Details Value
Description
Identify gaps in time series of depth profiles
Usage
1 | gapsz(x)
|
Arguments
x |
|
Details
A gap is defined as missing values for all depths for a single date.
Value
A data.frame with one row per time step and three columns indicating if all profiles are missing for the time step (misi, TRUE or FALSE, a unique identifier for the chunk (mval, lower-case if chunk is complete data, upper-case if missing data), and number of time observations in the chunk (n).
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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