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The regression analysis was performed using the lm function in R. The linear model used was: leafout ~ phylogeny + bio1 + bio7 + bio10 + bio11 + bio12 + bio15 + bio18 + bio19 + elevation + photoperiod.
To test for the possibility of reallocation of resources to supplementally pollinated racemes within plants, fruit and seed production were compared between the control raceme on experimental plants and the control raceme on control plants using the lm function of the 'stats' package and a Gaussian error distribution.
The model was fitted using the lm function of R (version 2.6.1) [53].
Association analyses in the CEU samples were carried out using the lm function of the R Statistical Package [38].
We fit the model to the data using the "lm" function in the R statistical package (http://www.r-project.org/).org/
The model was run using the lm function in R, and from the mean and SD of the normalized values (i.e. the residuals from the regression model) we defined a threshold for a detectable normalized response as t = mean+2SD.
Similar(24)
Effects of habitat, pollination treatment (natural and supplemental), and their interaction on the two reproductive variables were tested using the lmer function of the 'lme4' package and a Gaussian error distribution.
A mixed-effects model was fit to participants' sexual-interest judgments using the lmer function in the linear mixed-effects package lme4 (Bates, Maechler, Bolker, & Walker, 2015) in R (R Core Team, 2016).
Analyses were done using the lmer function in R [46].
The model was fitted in R [48], using the lmer function from the lme4 package for mixed-effect models [49].
All logistic mixed effects models were fitted using the lmer function for fitting linear or generalized linear mixed models (in the lme4 package for R [81]).
More suggestions(15)
using the lm routine
using the step function
using the histogram function
using the repair function
using the duleg function
using the share function
using the lm package
using the lm technique
using the image function
using the lm method
using the calibrate function
using the ruler function
using the Trace function
using the table function
using the lm algorithm
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