> library(ggplot2) > qplot(names(termFrequency), termFrequency, geom="bar", xlab="Terms") + coord_flip() Alternatively, the above plot can also be drawn with barplot() as below, where las sets the direction of x-axis labels to be vertical. > barplot(termFrequency, las=2) We can ...
Most plots were created using the R functionggplotfrom theggplot2package [41]. For spectrograms, LFP relative amplitude series, and matrix generation, the R functionpheatmapfrom thepheatmappackage [42] was used. Sine waves, cross-/autocorrelation, and continuous wavelet transform were plotted using ...
Once you’ve downloaded some data, producing figures like the ones in the posts above is only two lines away: tweets <- loadTag(tag) and ggplot(data=tweets, aes(x=as.POSIXct(date))) + geom_bar(aes(fill=..count..), binwidth=60*5). Here’s the current figure of 5-minute freque...
but this time do it in a calendar view. Something like a GitHub commit calendar would be perfect. I have used a library for this in thepast. Here, for no particular reason I used a function that I found in thispost(code at theend). ...
Graphical analysis and statistics including scatter plots with loess smoothing, confidence intervals, variance, and heat maps were performed in the R language, with ggplot2 [28, 29]. Confidence intervals were at 95% confidence and constructed via the Jefferys prior [30]. Tables were generated in...
if (require("ggplot2movies")) { # Often we don't want the height of the bar to represent the # count of observations, but the sum of some other variable. # For example, the following plot shows the number of movies # in each rating. ...
(D) Frequency of total VRC01gHL B cells (SSL, CD4−, B220+, CD45.2+, CD45.1−) on day 8 in spleens of mice immunized as in (B), seeded with different VRC01gHL cell precursor frequencies. n = 4 mice/group. (E) Representative plot of (red) eOD-GT8 60-mer binding to VRC...
Fig. 1: Exome-wide significant association ofGBA1,HLA-DRB1andSMPD1in the Discovery exome sequencing study. a, Quantile–Quantile plot of observed and expected CMHPfor autosomal genes with OR > 1.b, Forest plot ofSMPD1association in assessed populations. CMH without continuity correction wa...
Uncertainty quantification and sensitivity analysis of the expected yearly fraction of impacted customers under climate change. (a) Box plots of the change (w.r.t baseline scenario) in the expected yearly fraction of affected customers,\(\bar{F}\), for the four US regions. The figure shows ...
where VBIAis the BIA estimate for a given variable, and VDXAis the DXA estimate for a given variable. Data were visualized using the ggplot2 R package [27]. Statistical significance was accepted atp≤ 0.05. Data were analyzed using R (v. 4.0.2). ...