Ecology In R Github
50 viera plasma 1080p hdtv. Recology has moved, go toThis blog has lasted a whole year already. Thanks for reading and commenting.There are a couple of announcements:.
Less blogging: I hope to put in many more years blogging here, but in full disclosure, now, so I am going to be (and already have been) blogging less here. More blogging: If anyone wants to write guest posts at Recology on the topics of using R for ecology and evolution, or open science, please contact me!.
Different blogging: I was going to roll out the new dynamic views for this blog, but Google doesn't allow javascript, which is how I include code using GitHub gists. Oh well.Anywho, here is the breakdown of visits to this blog, visualized using #ggplot2, of course. There were a total of about 23,000 pageviews in the first year of this blog. Here is the pie chart code I used:Visits to top ten posts.
If/else statementsSo far everything we have done, we’ve done by hand: calculate a single mean, plot a single plot, etc. The real power of R comes from getting R to automate repetitive tasks and to make decisions for you. We’ll start this lesson with this last idea: How can we have R make decisions for us?Let’s say that we discover from our collaborator that there was an issue in 1984. All of the scales had not been calibrated, and we need to increase the weights of any measurements made in that year by 10%.
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How can we go through and update our table?First, make sure you have the surveys dataset loaded. Write.table(tablevariable, 'nameoffiletowriteto', sep= ',', row.names= FALSE, col.names= FALSE, quote= FALSE)The first arguement asks for the variable the table you wish to write out is stored. Then you give it the path and name of file you want to save it to.
The sep arguement let’s you choose how you want the cells in your file to be delimited. Here, we’ve put a, so this will create a.csv file. You could also put sep='t' for a tab-delimited file or sep='n' if you want each cell to be in it’s own row. The other three arguments above give instructions about whether you’d like to include the row names of the data, the column names of the data, and whether you’d like quotes to be put around each cell. Putting quotes around each cell is the default and can be beneficial if you have special characters or a lot of spaces and tabs within a cell, however, most of the time you will not need this and should set quote=FALSE, especially if you plan on opening the saved file in a program other than R.Let’s save our adjusted data to our data folder. FunctionsOur collaborator has noticed more problems with the data.
They were wrong about the calibration issues in 1984, and have told us to discard the updated table we made. However, they realize that the person who recorded the data in 1984 somehow transformed all of the data they collected - both the weights and the hindfootlength. To get the correct values, we will need multiply the recorded values by 1.083747 and add 10 to both of those variables. Your collaborator is very insistant that you use all of the significant digits provided when you convert values!One way to do this could be two write two separate loops - one for each variable that needs to be changed. That would be a lot of code, however, and if our collaborator came back to us again with more instructions, we’d have to remember to change both loops.Another way would be to add a second line to the one loop we’ve already made, to change the hindfootlength as well.