I saw the example on here https://r-graph-gallery.com/ which is really good but now I am stucked.

I tried to create a circular barplot with groups. I put also the data used.

I have a dataset like this:

I measured the massess of two materials, those materials were measured one after another under specific humidity and temperature conditions presented on the table, i would like to check for any differences in material 1 and material 2 masses over time and would like to try to create this kind of graph (https://i.sstatic.net/DaGgtYH4.png) where for example y axis wil represent masses and x will represent time and maybe size of circles will represent humidity and color will represent temperature. The bigest problem i just found out about R and only starting to learn it,so will apreciate any help.
Here is data i would like to plot: (https://i.sstatic.net/md3I7QFD.png)

I am creating a forest plot in R (code below) and want to transform my x-axis onto a log scale. However, my scale is not very balanced with the tick marks <1 more squished than the tick marks >1 (image below). How do I alter my code so that it looks more like the second image?

I have result of a NMDS using metaMDS() and I would like to plot my species ordination plot using a grouping variable in my environmental data.

I have some data that I am using to generate a non-differentiable function and trying to plot it in R and I am observing unexpected behavior: namely, the output of the function during plotting seems to be different than if R calculates the value of the function.

In page 19 of the stm tutorial, Figure 6: Graphical display of topical prevalence contrast

I export the following plot using the function manual giving a 2000 width and 2000 height.But the size of the font of the leng stays very small and the box of the legend goes massive.

Using layout, I can easily create panels.