I thought I copied and pasted it from the book I was working from but apparently not. I am surprised I don't get an error.
One of the hardest things for me in R as compared to SAS. Spelling matters so much.
I don't understand why this does not work (I get a blank chart with a Y and x axis).
climate_mod<- climate %>% filter (Source=="Berkley")%>% select(Year,Anomaly10y,Unc10y)
I am having trouble with data labels in bar charts.
This should work, but does not center correctly perhaps because of the type of bar chart I am using.
The calculation is possible I think based on what you have suggested. If you are asking about the charts. I think your first question can be done by simple descriptive or showing overall variation. I think your second and 3rd question can be done through regression.
I don't know the charts in...
You have to decide how you will combine the questions into anger as a whole (how you will combine them). Then combine them and you will have a single variable to correlate against a single variable. How you combine them is not simple. You should look at the literature on doing this.
I copied and pasted this from a link - since I am brand new to plotting. I will try to find the link and paste it here. I told 3 people who expressed an interest in learning R this webpage. They are learning from me which (beyond brining laughter here) is less than ideal. :)
boxplot(airquality[,0:4], main='Multiple Box plots',col=blues9)
This generates multiple boxplots. How can you make each boxplot a different color? Or can you.
I have not found the list of colors yet :p
Loading required package: greybox
Error: package or namespace load failed for ‘greybox’ in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]):
there is no package called ‘rlang’
Error: package ‘greybox’ could not be loaded
I have used this many times. I am not...
I got selected to teach the other, master programmers, in my unit R which dason is going to find incredibly amusing :) Given my known love of that language. :p
But realistically for the limited uses I will make of it I will be able to use it. I am not doing rocket science.
I note they say
"Note that rtools40 is only needed build R packages with C/C++/Fortran code from source. By default, R for Windows installs the precompiled “binary packages” from CRAN, for which you do not need rtools!"
I am pretty sure I have R for windows (everything we do uses that). But...
I did this trinker with a real excel file I have there (I already installed the package you mentioned but failed to use it correctly years ago)
thanks a lot.
mydataex <- read_excel("S:\\CIU\\Testfolder\\DataforTS.xlsx")
I have not gotten any errors importing excel. I have no idea how to do it at all. :)
Here is a typical example of the code I run now [I don't have any way to give you access to the data so I tried to attached it but it won't let me attach csv files].