pipetting_datasheets: Construct datasheets for pipette analysis
In evanmascitti/soiltestr: Functions for Laboratory Soil Testing
View source: R/psa-datasheet-helpers.R
pipetting_datasheets R Documentation
Construct datasheets for pipette analysis
Description
Construct datasheets for pipette analysis
Usage
pipetting_datasheets()
Details
If a continuous sequence of beaker numbers is used (the usual case), it is
helpful to set the sample_beaker_numbers argument to a numeric vector including
these. If no numbers are given, this column defaults to empty and the
numbers must be inputted manually after the file is generated. For example,
if 3 specimens are being tested and the sampled particle diameters are 20,
5, 2, and 0.2 μ, the user should use sample_beaker_numbers = 1:12. The
blank should essentially be considered a separate analysis; in other words,
its beaker numbers should not be interspersed within the sample beakers'
sequence.
Value
a list of two data sheets, one for the actual sampling and one for
the blank correction
evanmascitti/soiltestr documentation built on Oct. 6, 2022, 5:32 p.m.
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View source: R/psa-datasheet-helpers.R
| pipetting_datasheets | R Documentation |
Construct datasheets for pipette analysis
Description
Construct datasheets for pipette analysis
Usage
pipetting_datasheets()
Details
If a continuous sequence of beaker numbers is used (the usual case), it is
helpful to set the sample_beaker_numbers argument to a numeric vector including
these. If no numbers are given, this column defaults to empty and the
numbers must be inputted manually after the file is generated. For example,
if 3 specimens are being tested and the sampled particle diameters are 20,
5, 2, and 0.2 μ, the user should use sample_beaker_numbers = 1:12. The
blank should essentially be considered a separate analysis; in other words,
its beaker numbers should not be interspersed within the sample beakers'
sequence.
Value
a list of two data sheets, one for the actual sampling and one for the blank correction
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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