Replies: 5 comments 7 replies
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@msevestre @Yuri05 I would like to discuss it with you as soon as possible so we can start implementation. |
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@PavelBal I can take a stab at it if you're ok with it? It's going to allow me to see what's missing in core |
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I'll make a draft tomorrow and tag everyone for a discussion;-)
…On Thu., Jul. 1, 2021, 11:38 a.m. Pavel Balazki, ***@***.***> wrote:
@msevestre <https://github.com/msevestre> Sure, if you have time for this!
@hannaei <https://github.com/hannaei> Michael will take over for this
class but you can still investigate how you would implement this and then
"study" his implementation. Good opportunity to learn how to implement
R-classes and functions that are based on .NET classes.
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What should be the behavior when setting a unit that does not fit with the dimension? Should we switch the dimension automatically to one matching the unit? dataSet <- DataSet$new() HEre we will have some default set (xValues in Time, yValues in Concentration mass let say) What do you expect to happen? |
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@PavelBal @hannaei |
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Proposal for a structure for storing any kind of xy numerical data. This structure (class) can be used as a wrapper for
DataRepository
with extended functionality for convenient use in R and serve as a basis for data-related workflows such as figure creation with the TLF library and parameter identification.I think it should always be used as an intermediate structure and it's functionality will be defined by the workflows it will be used it.
Name of the class
How should we name the class?
Class fields
For this class, I propose not to follow the osps concept that all values are stored in base units. Instead, I propose to add the properties
that define in which unit the xValues, yValues, and yError are given. I see multiple advantages for the user:
DataSet
are stored as they were in the excel file.Should multiple y-value columns per
DataSet
be allowed? I see potential issues how to manage e.g. error values etc...Methods/functions for:
dataSet <- dataSet(xValues = c(1, 2, 3), yValues = c(2, 3, 4), yError = c(0, 0, 0.1))
Dimensionless
. The used can change the dimension:dataSet$xDimension <- "Time"
dataSet$yDimension <- "Concentration (molar)"
dataSet$xUnit <- "h"
dataSet$yUnit <- "pmol/l"
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