Wrangle and Analyze Growth Curve Data

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Documentation for package ‘gcplyr’ version 1.9.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

auc	Calculate area under the curve
block_tidydesign	Turn tidydesign into block format
calc_deriv	Calculate derivatives of vector of data
doubling_time	Calculate doubling time equivalent of per-capita growth rate
example_design_tidy	Design for example growth curve data A tidy-shaped dataset with the experimental design (i.e. plate layout) for the example data included with 'gcplyr'.
example_widedata	Example noisy growth curve data in wide format
example_widedata_noiseless	Example growth curve data in wide format
ExtremaFunctions	Find local extrema of a numeric vector
extr_val	Extract parts of an object
find_local_extrema	Find local extrema of a numeric vector
find_threshold_crosses	Find point(s) when a numeric vector crosses some threshold
first_above	Find point(s) when a numeric vector crosses some threshold
first_below	Find point(s) when a numeric vector crosses some threshold
first_maxima	Find local extrema of a numeric vector
first_minima	Find local extrema of a numeric vector
first_peak	Find the first local maxima of a numeric vector
from_excel	A function that converts base-26 Excel-style letters to numbers
gc_smooth.spline	Fit a Smoothing Spline
import_blockdesigns	Import blockdesigns
import_blockmeasures	Import blockmeasures
lag_time	Calculate lag time
makemethod_train_smooth_data	Create method argument for 'caret::train' of growth curve smoothers
make_design	Make design data.frame(s)
make_designpattern	Make design pattern
make_example	Create R objects or files as seen in vignette examples
make_tidydesign	Make tidy design data.frames
max_gc	Maxima and Minima
mdp	Make design pattern
merge_dfs	Collapse a list of dataframes, or merge two dataframes together
MinMaxGC	Maxima and Minima
min_gc	Maxima and Minima
MovingWindowFunctions	Moving window smoothing
moving_average	Moving window smoothing
moving_median	Moving window smoothing
paste_blocks	Paste a list of blocks into a single block
predict_interpolation	Predict data by linear interpolation from existing data
print_df	Nicely print the contents of a data.frame
read_blocks	Read blockmeasures
read_tidys	Read tidy-shaped files
read_wides	Read wides
separate_tidy	Separate a column into multiple columns
smooth_data	Smooth data
solve_linear	Return missing information about a line
ThresholdFunctions	Find point(s) when a numeric vector crosses some threshold
to_excel	A function that converts numbers into base-26 Excel-style letters
train_smooth_data	Test efficacy of different smoothing parameters
trans_block_to_wide	Transform blocks to wides
trans_wide_to_tidy	Pivot widemeasures longer
uninterleave	Uninterleave list
WhichMinMaxGC	Where is the Min() or Max() or first TRUE or FALSE?
which_max_gc	Where is the Min() or Max() or first TRUE or FALSE?
which_min_gc	Where is the Min() or Max() or first TRUE or FALSE?
write_blocks	Write block designs to csv