A Data Manipulation and Analysis Package for Calcium Indicator
Data
Provides shortcuts in extracting useful data points and summarizing waveform data. It is optimized for speed to work efficiently with large data sets so you can get to the analysis phase more quickly. It also utilizes a user-friendly format for use by both beginners and seasoned R users.

Simple Peak Alignment for Gas-Chromatography Data
c(person("Martin", "Stoffel", email = "martin.adam.stoffel@gmail.com", role = c("aut")),
person("Meinolf", "Ottensmann", email = "meinolf.ottensmann@web.de", role = c("aut","cre")),
person("Joseph I.", "Hoffman", email = "j_i_hoffman@hotmail.com", role = c("aut")))
Aligns chromatography peaks with a three step algorithm: (1) Linear
transformation of retention times to maximise shared peaks among samples
(2) Align peaks within a certain error-interval (3) Merges rows that are likely
representing the same substance (i.e. no sample shows peaks in both rows and
the rows have similar retention time means).
The method was first described in Stoffel et al. (2015) <doi:10.1073/pnas.1506076112>.
ggplot2 (>= 2.2.1), graphics, stats, readr, reshape2, stringr,
utils
knitr, pander, rmarkdown, testthat, vegan (>= 2.4.2)
Martin Stoffel [aut],
Meinolf Ottensmann [aut, cre],
Joseph I. Hoffman [aut]

c(person("Meinolf", "Ottensmann", email = "meinolf.ottensmann@web.de", role = c("aut","cre")),
person("Martin", "Stoffel", email = "martin.adam.stoffel@gmail.com", role = c("aut")),
person("Hazel J.", "Nichols", role = c("aut")),
person("Joseph I.", "Hoffman", role = c("aut")))
Aligns peak based on peak retention times and matches homologous peaks
across samples. The underlying alignment procedure comprises three sequential steps.
(1) Full alignment of samples by linear transformation of retention times to
maximise similarity among homologous peaks (2) Partial alignment of peaks within
a user-defined retention time window to cluster homologous peaks (3) Merging rows
that are likely representing homologous substances (i.e. no sample shows peaks in
both rows and the rows have similar retention time means). The algorithm is described in detail
in Ottensmann et al. submitted <doi:10.1101/110494>.
ggplot2 (>= 2.2.1), graphics, stats, readr, reshape2, stringr,
utils, pbapply
Meinolf Ottensmann [aut, cre],
Martin Stoffel [aut],
Hazel J. Nichols [aut],
Joseph I. Hoffman [aut]