designFactors | R Documentation |
Add the following factor
s and covariates to a date frame containing imaging data from the Plant Accelerator: Zone, xZone, SHZone, ZLane, ZMainunit, Subunit and xMainPosn. It checks that the numbers of levels of the factor
s are consistent with the observed numbers of carts and observations.
designFactors(data, insertName = NULL, designfactorMethod = "LanePosition",
nzones = 6, nlanesperzone = 4,
nmainunitsperlane = 11, nsubunitspermain = 2)
data |
A Smarthouse, Snapshot.ID.Tag, xDAP, and, if |
insertName |
A |
designfactorMethod |
A |
nzones |
A |
nlanesperzone |
A |
nmainunitsperlane |
A |
nsubunitspermain |
A |
The factor
s Zone, ZLane, ZMainunit and Subunit are derived for each Smarthouse based on the values of nzones
, nlanesperzone
, nmainunitsperlane
, nsubunitspermain
, Zone being the blocks in the split-unit design. Thus, the number of carts in each Smarthouse must be the product of these values and the number of observations must be the product of the numbers of smarthouse, carts and imagings for each cart. If this is not the case, it may be able to be achieved by including in data
rows for extra observations that have values for the Snapshot.ID.Tag, Smarthouse, Lane, Position and Time.after.Planting..d. and the remaining columns for these rows have missing values (NA
) Then SHZone is formed by combining Smarthouse and Zone and the covariates cZone, cMainPosn and cPosn calculated. The covariate cZone is calculated from Zone and cMainPosn is formed from the mean of cPosn for each main plot.
A data.frame
including the columns:
Smarthouse: factor
with levels for the Smarthouse
Zone: factor
dividing the Lanes into groups, usually of 4 lanes
cZone: numeric corresponding to Zone, centred by subtracting the mean of the unique positions
SHZone: factor
for the combinations of Smarthouse and Zone
ZLane: factor
for the lanes within a Zone
ZMainunit: factor
for the main units within a Zone
Subunit: factor
for the subunits
cMainPosn: numeric for the main-plot positions within a Lane, centred by subtracting the mean of the unique Positions
cPosn: numeric for the Positions within a Lane, centred by subtracting the mean of the unique Positions
Chris Brien
data(exampleData)
longi.dat <- prepImageData(data = raw.dat, smarthouse.lev = 1)
longi.dat <- designFactors(data = longi.dat, insertName = "Reps",
nzones = 1, nlanesperzone = 1, nmainunitsperlane = 10,
designfactorMethod="StandardOrder")
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