similar to: creating a map

I'm trying to create a colored map that would show the number of students per state. My data frame consists of two columns - state and count. I'm using the following code library(maps) map("usa") library(plotrix) state.col<-color.scale(gre$count,0,0,c(0,1)) map("state",fill=TRUE,col=state.col) I'm getting a map, but the values are not being mapped to correct

My question is probably pretty basic, but since I'm really new to R, here it goes .... I have two separate data frames that include class names and various other information on classes. I'm trying to create a match based on class names and if a match exists to create a third data frame with the class name. I was hoping to accomplish this with sapply, but I can't figure out if I can

I haven't used R in a couple of years, and now am trying something as simple as importing a csv file and am running into problems right away. * mydata <- read.csv (Wordata1.csv, sep="") Error in read.table(file = file, header = header, sep = sep, quote = quote, : object 'Wordata1.csv' not found *I've tried in both as as read.csv and read.table and still get the

I am working with a list of dates and I would like to replace each date with the one that comes after, ie. 1/1/07 will become 1/5/07, 1/5/07 will become 1/7/07, etc. The number of days between my dates always varies, so I can't just increase each one by 5 days or so. Does anyone know of a way I can do this in R? thank you [[alternative HTML version deleted]]

I'm trying to convert data from character to numeric. I've imported data as a csv file, I'm assuming that the import is a database - are all the columns in a database considered "vectors" and that they can be operated on individually Therefore I've tried the following mydata <- as.numeric(mydata$apples) when i then look at mydata again the named column is still

I'm running the following code numbers <- 1:50 for (i in 1:50) assign(paste("model",numbers[i]),i)<-(lm(temp$Overall.Scaled.Score~temp$raw.score)) where I want R to create 50 different models-1:50, but get the following error message "target of assignment expands to non-language object". I've tried it with

I've created a number of models using lm and now want to pick one with the smallest standard error or the smallest RSS, I can get a list of RSS using anova function, but is the any way I can then select one with the smallest RSS from the list? [[alternative HTML version deleted]]

I am trying to overlay a data frame with lat and longitude(which refer to zip codes) on the map of US that I get by using map ("states"). Is there anyway to do this or do I have to resort to using maptools? thank you [[alternative HTML version deleted]]

Hi all, After a long ride, I'm planning to turn on the use of MemorySSA for loop passes (D58311 <https://reviews.llvm.org/D58311>) tomorrow (8/29). Please let me know if you have issues, concerns or feedback on this. Best, Alina -------------- next part -------------- An HTML attachment was scrubbed... URL:

On 2/10/20 2:35 PM, Alina Sbirlea wrote: > Hi, > > Here's a tentative patch of the changes for this: D74353 > <https://reviews.llvm.org/D74353>. I suppose that, as expected, it's invalidated less often this way. Given that it's generally stateless, does this really represent a cost savings?  -Hal > > Thank you, > Alina > > > On Mon, Feb 10,

Hi all, I have a dataset consisting of 5 columns and over 5000 rows. Each row gives information about an individual animal, including longevity, i.e. at what age an animal died. For the model I use I need to create n rows for each animal, n being its longevity, and a new column 'survival' with a binary 0/1 outcome. When an animal died e.g. at age 5, there have to be 5 rows of identical

Hi, I'd like to understand if it makes sense to keep BasicAA as a not CFG-only pass, or if it can be updated to CFG-only. The change was made in D44564 <https://reviews.llvm.org/D44564>. >From what I gathered the motivation was PhiValuesAnalysis not being properly updated, and BasicAA having an instance of it. PhiValuesAnalysis now uses callback values to invalidate deleted values (

Yes, this is odd. On my clang.bc Without: 2.2967 ( 53.8%) 0.0242 ( 26.4%) 2.3210 ( 53.2%) 2.3227 ( 53.2%) Memory SSA 2.3364 ( 53.7%) 0.0246 ( 25.7%) 2.3610 ( 53.1%) 2.3636 ( 53.1%) Memory SSA 2.3353 ( 54.0%) 0.0258 ( 27.0%) 2.3611 ( 53.4%) 2.3632 ( 53.3%) Memory SSA With two getModRefInfo calls: 3.0302 ( 58.8%) 0.0328 ( 29.9%) 3.0630 ( 58.2%) 3.0858 ( 58.2%)

Hello, Following up on last week's LLVM-Dev meeting where we discussed MemorySSA related topics, I created the following google doc <https://docs.google.com/document/d/1-uEEZfmRdPThZlctOq9eXlmUaSSAAi8oKxhrPY_lpjk/edit#> with some of the meeting notes and planning for future meetings. For those who participated, please feel free to add items I may have missed into the document and cc

On Mon, Oct 9, 2017 at 1:57 PM, Daniel Berlin <dberlin at dberlin.org> wrote: > FWIW: Bootstrap is probably not a good test of this, there are bugs filed > where we end up with tons of loads and stores to test against each other. > That's actually fairly rare in bootstrap, as you can see. > Let me get you some test cases. > SG, thanks! > > My guess is that we

Hi Hal, Yes, the "internal" caches AA would be valid as long as the IR is not mutated. Are you suggesting keeping them? It's possible, but it will be very tricky to ensure they are cleared at the right times and they will likely be prone to adding hidden bugs. I don't have strong indications currently that keeping such information would be useful by other users, other than

Hi Krzysztof, Could I get some background info on reasoning about hoisting in the presence of volatile loads? I was looking at this testcase: test/Transforms/LICM/volatile-alias.ll Context: MemorySSA treats volatile loads as defs. I'm looking to better understand expected behavior in the presence of volatile accesses. More context: https://reviews.llvm.org/D40375. Thanks in advance, Alina

Hi, I am performing meta-regression using linear mixed-effect model with the lme() function that has two fixed effect variables;one as a log transformed variable (x) and one as factor (y) variable, and two nested random intercept terms. I want to save the predicted values from that model and show the log curve in a plot ; predicted~log(x) mod<-lme(B~log(x)+as.factor(y),

Hi R Gurus! There was a function in S called "usa()" which would plot the US. I found map('usa') in R for the lower 48 states. Is there a way to include Alaska and Hawaii as well, please? Thanks, Edna Bell

Hi Dave, It may be possible to do this with the current API, but what I was looking for is a common API for existing block types. For example there is no succ_begin for Machine BasicBlock. I'm looking to make the CFGSuccessors and CFGPredecessors classes in CFGDiff.h templated, and this needs a common API for all types instantiations. Does this clarify your question or did I misunderstand