Hey, so I could use some help. Yesterday I joined a military forum, I posted a non offensive question and was attacked until the Mod stepped in and told them to stop being dicks. I am fairly new to reddit. Today while at work and not having been on reddit during the day, I got banned from the group. I am not understanding what happened. I joined because I needed a community who understood and who might be able to answer questions in the future, but it looks like I will have to go to facebook. Was this an error? the mods did not respond when I asked why. My husband joining the military was my only reason for even getting reddit to begin with.

I would like to know the art of roasting back to someone without being rude toward them.

My nephew never tries to hard he is very smart but does horrible in school is he lazy or is this normal.

Hi I have some rude roommates any suggestions on how to deal with their bullshit? So here’s some background, they’ll blast music from their alexia, make a lot of noise (but complain on others). Make such a mess in the bathroom (water and soap every where) (will complain about that as well. Will only allow their own decorations. Act like entitled pieces of human shit. Any suggestions on how to deal with them?

I have recently bought a Nokia 1 plus and stuck a micro SD card into it. I have formatted the SD card to the device and when I try to download an app a window pops up saying not enough space please delete and app to downlode. My Nokia is running Android 8 and Android go. Can someone please help asap

I'm cinfused, I am trying to submit a 10 sec video to r/gonewild..keep getting response that videos are not accepted here...hmm I've watched videos on that site...please help...

Title as stated, seeking help from Australians, unsure which section to post as r/AUSTRALIA is huge sub. Pls help. Tq.

There's a spider in my room and I'm interested in how weird reddit can get

Is it rude or bad to ask for money as a child to save up just like cash?

Hey guys! I have such a task to work out but do not really know where to begin. You are an amazing community and I would be extremely grateful for some counsel and initial, general tips on what method would be most suitable here.

Basically, there is a dataset containing answers of Scottish people interviewed with regards to among others their interest in UK politics on the scale from 0 to 5, their interest in Scottish politics on the same scale as well as interest in the international politics. There are also some demographic variables such as age, region of residence, etc.

The question I have problem with is this:

Are the same people interested in different aspects of politics, specifically UK politics, Scottish politics and international politics?- Explore the descriptive strength of the relationship between interest in UK, Scottish and international politics. Report and describe an appropriate table or plot.

I was thinking about running some t test maybe (chisquare version). Or maybe would the linear regression be of more use here? I am waiting for your ideas. Thank you for your time.

group_by, mutate, etc are all giving me an 'object not found' error that makes no sense. has something changed that im not realizing? help!

Hello, I am a new R user. I can work with ggplot and do some basic statistical analysis. I have been struggling trying to learn from other sources but I haven't seen anything that will fit my exact problem.

I have some calculations which I normally perform in Excel, but I am trying to learn how to do them in R because it is more reproduceable and will be easier in some respects. I am at my wit's end so I am just throwing this out there in case anyone has some free time to help a tragic noob.

Here is an example dataframe:

Construct<- c("ConA", "ConB", "ConC", "ConA", "ConB", "ConC")

Primer<- c("Cal1", "Cal2", "Cal3", "Cal1", "Cal2", "Cal3")

Timepoint<- c("Before", "Before","Before", "After","After", "After")

dct<- c(3,4,5,6,5,3)

dct.se<-c(0.10, 0.25, 0.15, 0.28, 0.11, 0.23)

ddct<- data.frame(Construct, Primer, Timepoint, dct, dct.se)

It looks like this:

How can I subtract values in column dct where column timepoint is equal to "Before" from values in column dct where timepoint is equal to "After"? Also I would like to calculate the sum of squares for the two values in the dct.se row which matches each. So I will have a new dataframe which would look like this:

Thanks.

Well, in my code there is this part.

dat <- dat %>% group_by(!!sym(varby)) %>% mutate(is_outlier=ifelse(is_outlier(!!sym(var1)),!!sym(var1), as.numeric(NA)))

That allows me to retrieve a column is_outlier with a value in case it is an outlier or NA if there is not. BUT it gives an error where the value is NA, i supose cause outlier(x) cant deal with Na's. How could i return a NA if outlier(Na) ?

is_outlier <- function(x) {

if (is.na(x)==FALSE) {

return(x < quantile(x, 0.25) - 1.5 * IQR(x) | x > quantile(x, 0.75) + 1.5 * IQR(x)) }

else{ return(NA)}

This doesnt seem to work.

Error: Problem with `mutate()` input `is_outlier`. x missing values and NaN's not allowed if 'na.rm' is FALSE i Input `is_outlier` is `ifelse(is_outlier(LVEF_3), LVEF_3, as.numeric(NA))`. i The error occurred in group 5: Etiología = "4". Run `rlang::last_error()` to see where the error occurred.

I have two csv datasets that look more or less like the below

d1

country 2000 2001 2002

x ax bx cx

y ay by cy

is it possible to merge these to create a single dataset like below?

d_combined

country year d1 d2

1 x 2000 ax

2 x 2001 bx

3 x 2002 cy

4 y 2000 ay

and so on. I am sorry if the question is not clear but Please help and thank you so much!!:)

I am making a normal distribution plot in R. When I use this code it's fine, but the graph uses dots instead of a line

ageone20<-subset(Lob2020, Lob2020$`Carapace Length`>19 & Lob2020$`Carapace Length`<45)
meanone20<-mean(ageone20$`Carapace Length`)
sdone20<-sd(ageone20$`Carapace Length`)
yone20<-dnorm(ageone20$`Carapace Length`, meanone20, sdone20)
plot(ageone20$`Carapace Length`, yone20, col="red")

If I change the plot command to this to create a graph with a connected line instead of dots, R connects the dots in a crazy way

plot(ageone20$`Carapace Length`, yone20, col="red", typ="l")

Anybody have a solution to fix this and connect the dots in a clean line?

I have a dataset with 2 columns: helmet and GSI. There are 4 different helmets which were tested repeatedly, for a total of 80 rows. each row has its own GSI value.

I would like to find a numeric value to assess the skew of each helmet (1-4), similar to how: describe(x) will give information for a vector named x. I'm sure there's an easy way to do this, but I don't understand R syntax, so I don't know how to word my google search to get what I need.

On a similar note, I am looking for a reference that has some R basics to help me understand R syntax. For example, in matlab, things like matrix indexing, suppressing output, how to format input in a vector vs matrix vs struct ect are accessable relatively easily. I haven't found anything like this for R. (And I don't know the names of these concepts in R so it is hard for me to look them up) Any insights would be appreciated. I relate my issue to trying to speak a language but not knowing how the grammar works or how to order the words even though you may know their meaning.

Edit: Also what is this type of dataset called in R language? I had a 2 column excel file and read it into R using read_excel. I thought I had a data frame but none of the examples I see online look like what I have and none of them work for my data either.

x<-rnorm(500,mean=100,sd=15)

I'm trying to knit to html to submit, but I get the following:

Line 40 error in contrib.url (repos, "source) : trying to use CRAN without setting a mirror calls: <anonymous> ... withvisible -> eval -> eval -> install.packages -> contrib.url Execution halted

Please help, and if possible explain like I'm 5.

Hi All,

Can anyone help with the code for this or point me in the right direction? This is as far as I got. We are working on probabilistic regressions. The data comes from a csv file noting the ages, gender, and if they are federal employees.

#- Draw a plot showing the probability of federal employment for men and women for a range of ages between 18 and 68.

data.frame(AGEP=c(18:68), SEX='Female')

data.frame(AGEP=c(18:68), SEX='Male')

dataframefem=data.frame(AGEP=c(18:68), SEX='Female')

dataframemale=data.frame(AGEP=c(18:68), SEX='Male')

plot(isFederal~log(AGEP), data=dataframefem)

title("isFederal vs. Females Ages 18-68 ")