R/generics.R, R/model.R
predictForCluster.RdPredicts the expected trajectory observations at the given time under the assumption that the trajectory belongs to the specified cluster.
For lcModel objects, the same result can be obtained by calling predict() with the newdata data.frame having a "Cluster" assignment column.
The main purpose of this function is to make it easier to implement the prediction computations for custom lcModel classes.
predictForCluster(object, newdata = NULL, cluster, ...)
# S4 method for class 'lcModel'
predictForCluster(object, newdata = NULL, cluster, ..., what = "mu")The model.
A data.frame of trajectory data for which to compute trajectory assignments.
The cluster name (as character) to predict for.
Arguments passed on to predict.lcModel
useClusterWhether to use the "Cluster" column in the newdata argument for computing predictions conditional on the respective cluster.
For useCluster = NA (the default), the feature is enabled if newdata contains the "Cluster" column.
The distributional parameter to predict. By default, the mean response 'mu' is predicted. The cluster membership predictions can be obtained by specifying what = 'mb'.
A vector with the predictions per newdata observation, or a data.frame with the predictions and newdata alongside.
The default predictForCluster(lcModel) method makes use of predict.lcModel(), and vice versa. For this to work, any extending lcModel classes, e.g., lcModelExample, should implement either predictForCluster(lcModelExample) or predict.lcModelExample(). When implementing new models, it is advisable to implement predictForCluster as the cluster-specific computation generally results in shorter and simpler code.
Classes extending lcModel should override this method, unless predict.lcModel() is preferred.
setMethod("predictForCluster", "lcModelExt",
function(object, newdata = NULL, cluster, ..., what = "mu") {
# return model predictions for the given data under the
# assumption of the data belonging to the given cluster
})Other lcModel functions:
clusterNames(),
clusterProportions(),
clusterSizes(),
clusterTrajectories(),
coef.lcModel(),
converged(),
deviance.lcModel(),
df.residual.lcModel(),
estimationTime(),
externalMetric(),
fitted.lcModel(),
fittedTrajectories(),
getCall.lcModel(),
getLcMethod(),
ids(),
lcModel-class,
metric(),
model.frame.lcModel(),
nClusters(),
nIds(),
nobs.lcModel(),
plot-lcModel-method,
plotClusterTrajectories(),
plotFittedTrajectories(),
postprob(),
predict.lcModel(),
predictAssignments(),
predictPostprob(),
qqPlot(),
residuals.lcModel(),
sigma.lcModel(),
strip(),
time.lcModel(),
trajectoryAssignments()
data(latrendData)
method <- lcMethodLMKM(Y ~ Time, id = "Id", time = "Time")
model <- latrend(method, latrendData)
predictForCluster(
model,
newdata = data.frame(Time = c(0, 1)),
cluster = "B"
)
#> [1] -0.9797514 0.1191113
# all fitted values under cluster B
predictForCluster(model, cluster = "B")
#> [1] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [7] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [13] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [19] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [25] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [31] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [37] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [43] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [49] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [55] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [61] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [67] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [73] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [79] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [85] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [91] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [97] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [103] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [109] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [115] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [121] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [127] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [133] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [139] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [145] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [151] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [157] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [163] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [169] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [175] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [181] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [187] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [193] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [199] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [205] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [211] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [217] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [223] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [229] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [235] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [241] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [247] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [253] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [259] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [265] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [271] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [277] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [283] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [289] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [295] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [301] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [307] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [313] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [319] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [325] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [331] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [337] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [343] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [349] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [355] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [361] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [367] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [373] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [379] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [385] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [391] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [397] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [403] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [409] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [415] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [421] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [427] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [433] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [439] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [445] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [451] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [457] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [463] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [469] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [475] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [481] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [487] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [493] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [499] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [505] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [511] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [517] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [523] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [529] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [535] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [541] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [547] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [553] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [559] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [565] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [571] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [577] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [583] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [589] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [595] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [601] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [607] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [613] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [619] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [625] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [631] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [637] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [643] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [649] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [655] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [661] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [667] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [673] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [679] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [685] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [691] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [697] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [703] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [709] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [715] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [721] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [727] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [733] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [739] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [745] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [751] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [757] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [763] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [769] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [775] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [781] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [787] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [793] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [799] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [805] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [811] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [817] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [823] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [829] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [835] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [841] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [847] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [853] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [859] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [865] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [871] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [877] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [883] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [889] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [895] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [901] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [907] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [913] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [919] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [925] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [931] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [937] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [943] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [949] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [955] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [961] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [967] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [973] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [979] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [985] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [991] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [997] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1003] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1009] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1015] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1021] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1027] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1033] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1039] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1045] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1051] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1057] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1063] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1069] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1075] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1081] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1087] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1093] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1099] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1105] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1111] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1117] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1123] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1129] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1135] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1141] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1147] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1153] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1159] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1165] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1171] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1177] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1183] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1189] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1195] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1201] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1207] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1213] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1219] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1225] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1231] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1237] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1243] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1249] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1255] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1261] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1267] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1273] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1279] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1285] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1291] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1297] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1303] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1309] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1315] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1321] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1327] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1333] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1339] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1345] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1351] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1357] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1363] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1369] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1375] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1381] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1387] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1393] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1399] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1405] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1411] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1417] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1423] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1429] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1435] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1441] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1447] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1453] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1459] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1465] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1471] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1477] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1483] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1489] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1495] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1501] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1507] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1513] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1519] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1525] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1531] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1537] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1543] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1549] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1555] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1561] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1567] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1573] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1579] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1585] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1591] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1597] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1603] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1609] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1615] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1621] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1627] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1633] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1639] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1645] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1651] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1657] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1663] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1669] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1675] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1681] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1687] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1693] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1699] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1705] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1711] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1717] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1723] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1729] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1735] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1741] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1747] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1753] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1759] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1765] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1771] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1777] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1783] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1789] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1795] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1801] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1807] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1813] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1819] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1825] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1831] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1837] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1843] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1849] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1855] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1861] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1867] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1873] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1879] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1885] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1891] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1897] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1903] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1909] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1915] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1921] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1927] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1933] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1939] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1945] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1951] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1957] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1963] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1969] 0.42939022 0.43011898 -0.97975135 -0.63534769 -0.38525328 -0.16233773
#> [1975] 0.05903586 0.17918673 0.31069966 0.39004675 0.42939022 0.43011898
#> [1981] -0.97975135 -0.63534769 -0.38525328 -0.16233773 0.05903586 0.17918673
#> [1987] 0.31069966 0.39004675 0.42939022 0.43011898 -0.97975135 -0.63534769
#> [1993] -0.38525328 -0.16233773 0.05903586 0.17918673 0.31069966 0.39004675
#> [1999] 0.42939022 0.43011898