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To obtain a first impression of the distribution, the density (and also the distribution function) can be shown by simply using the PLOT function.
All plots were generated using the plot function in R.
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Notably, a specific way to use the plot function is to visualize the scatter plot of two experimental data attributes.
Quantification of GFP signal intensity was performed using the plot profiling function of ImageJ 1.32.
Fluorescence intensity levels of Rab5 and Rab11 in Figure 1 were quantified in AS and epidermal cells after elongation using the plot profile function from ImageJ (http://rsb.info.nih.gov/ij/).
The events data may then be visualized using the plot.squiggle function (see Fig. 1).
Using the Plot Profile function, the pixel intensity along the line was measured and plotted against distance along the line.
Data were corrected by subtracting the absorbance at zero time, A340nm, t 0. Data were exported to and analyzed in Origin 8.5.0 (OriginLab, Northampton, MA).. To plot diagrams, the data were imported into MATLAB v7.9.0.529 R2009b (The MathWorks, Natick, MA) and plotted using the "imagesc" plot function.
Allele effects were determined using the effect plot function in R/qtl using the QTL peak marker or marker nearest to the peak as the reference marker.
Allele effects were determined using the effect plot function in R/qtl with the QTL peak marker or the marker nearest to the peak as the reference marker.
Allele effects were determined using the effect plot function in R/qtl with the QTL peak marker or marker nearest to the peak as the reference marker.
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