Changelog
Source:NEWS.md
ceas 1.2.1
-
read_data()
throws an error if the “Group” column of the input data is only one word that cannot be separated with thedelimiter
provided by the user.
ceas 1.2.0
- Linear mixed-effects models can now be used to get mean and confidence intervals for datasets with replicates. ATP production, OCR and ECAR are modelled as the response with experimental group as a fixed effect and replicate as a random effect. Mixed-effects modelling is supported by
get_energetics_summary()
,get_rate_summary()
,bioscope_plot()
,atp_plot()
, andrate_plot()
.
ceas 1.1.2
-
get_energetics()
now warns about possible mismatches between the replicates in the MITO and GLYCO groups instead of stopping as datasets with different replicate counts can cause a mismatch that may not be erroneous.
ceas 1.1.1
-
rate_plot()
now has alinewidth
parameter to set the width of itsgeom_line
s
ceas 1.1.0
-
Separating replicates is now supported for getting
get_energetics_summary()
,bioscope_plot()
,atp_plot()
andrate_plot()
withsep_reps = TRUE
. This will calculate summary statistics for each replicate within a group instead of combining them.atp_plot()
now uses a linerange plot instead of a crossbar plot and color to distinguish between replicates instead of experimental groups. There is no color if there are no replicates or if they are combined.Note: the current default is to combine replicates (
sep_reps = FALSE
) to maintain backwards compatibility, but future releases will separate them by default. Ifsep_reps
is not explicitly set toFALSE
, the functions will warn the user about this future change in defaults.
ceas 1.0.3
- Preserve the replicate column when returning energetics from
get_energetics()
ceas 1.0.2
-
read_data()
returns thereplicate
column as a factor instead of numeric
ceas 0.3.3
- Don’t divide by 0 when normalizing if already 0; PER is now normalized with OCR and ECAR.
ceas 0.3.2
- Warn if data are not normalized by checking that the “Background” group’s OCR, ECAR, and PER values are 0.
ceas 0.3.1
- Add assay type as argument to plot ECAR/OCR meaningfully as all assay types were previously being summarized instead of just one.
ceas 0.3.0
-
Add
normalize()
, a cell count/protein mass normalization function.read_data
now can take a csv file with cell counts or protein mass (\(\mu\)g) for each of the experimental groups to normalize the data. An example csv is provided below for a dataset with 4 experimental groups:exp_group measure Group_1 30000 Group_2 30000 Group_3 5000 Group_4 5000
ceas 0.2.0
- Add delimiter between group and assay labels as argument in
read_data()
to support delimiters other than.
ceas 0.1.1
- Fix the calculation of coupled mitochondrial respiration (#4). This correction was published in https://doi.org/10.1074/jbc.AAC118.004855.