Names of the columns in the data file used to define
conditions, see Details.
datatrans
Character vector describing a function to transform data.
Use x to refere to data.
Value
A data frame of the following variables
time
Measurement time point.
name
Name of the observed species.
value
Mean of replicates.
sigma
Standard error of the mean, NA for single measurements.
n
The number of replicates reduced.
condition
The condition for which the value and sigma were calculated. If
more than one column were used to define the condition, this variable
holds the effecive condition which is the combination of all applied
single conditions.
Format
The following columns are mandatory for the data file.
name
Name of the observed species.
time
Measurement time point.
value
Measurement value.
condition
The condition under which the observation was made.
In addition to these columns, any number of columns can follow to allow a
fine grained definition of conditions. The values of all columns named in
select are then merged to get the set of conditions.
Details
Experiments are usually repeated multiple times possibly under different
conditions leading to replicted measurements. The column "Condition" in the
data allows to group the data by their condition. However, sometimes, a more
fine grained grouping is desirable. In this case, any number of additional
columns can be append to the data. These columns are referred to as
"condition identifier". Which of the condition identifiers are used to do the
grouping is user defined by anouncing the to select. The mandatory
column "Condition" is always used. The total set of different conditions is
thus defined by all combinations of values occuring in the selected condition
identifiers. The replicates of each condition are then reduced to mean and
variance.New conditions names are derived by merging all conditions which
were used in mean and std.