Consider the following dataset. It concerns the final date of the unemployment spell, but for now it can simply be seen as changing an enddate when certain char
This dataframe: df <- structure(list(Subject = c("A", "A", "A", "A", "A", "A", "B", "B", "B", "B", "B"), Timestamp = c("00:00:00.146 - 00:00:
I want to make a population pyramid chart to display differences of age and gender among different jobs in the DF i have (small sample below). I want to make th
I have this dataset containing multiple columns. I want to use cumsum() on a column conditioning the sum on another column. That is when X happens I want the su
I have created a great map using the code below but got a problem with labels. The labels overlaps with each other and become unreadable. How can I fix this? My
I have inherited a mess of a table which looks a little like this: A1 B1 C1 V1 B1 0/1 C1 0/0 A1 1/1 V2 C1 0/1 A1 0/0 B1 0/1 V3 B1 0/0 NA A1 0/1 e
I have several character variables with the same dimensions of outcome that I would like to compare. I am able to create a hsitogram for each of these variables
This is dataset with my variables for analysis. clys<-structure(list(session_price = c(18824.7664, 35584.4106, 21084.4035, 9907.5856, 30806.5486, 15788.1279
I'm trying to create a gap in a histogram between 0.6 and 1 (on the y axis) but don't really know how to go about this. The gap.barplot solution does not seem t
I want to replace this code into dplyr style. financials[is.na(ForecastEarningsPerShare), ForecastEarningsPerShare := ForecastEarningsPerShare2] Could you tell
I have this: subset_1 <- degs[degs$pathol=='fibrosis'°s$value==1,] mean_1 <- mean(subset_1$logFC) sd_1 <- sd(subset_1$logFC) tsub_1 <- t.test
I have attempted to create a leaflet map of the birthplaces of NHL players. However, I would like to add a title and/or a description in the map. I have attempt
I have three datasets from three different sub-reddits, and my goal is 1-to check how many users are active in df1 (i.e. a sub-reddit), active in df2, and/or df
I have this LSDV model using the "lm()" function and adding the country dummy variables minus the intercept. Then I made robust standard errors in order to fix
Here I have a snippet of my dataset. The rows indicate different days of the year. The Substations represent individuals, there are over 500 individuals. The 1
ID score1 score 2 score 3 score 4 1 200 300 400 -200 2 250 -310 -470 -200 3 210 400 480 -200 4 220 -10 -400 -200 5 150 -50 400 -200 I am new to R, I want to m
ID score1 score 2 score 3 score 4 1 200 300 400 -200 2 250 -310 -470 -200 3 210 400 480 -200 4 220 -10 -400 -200 5 150 -50 400 -200 I am new to R, I want to m
R> data.frame(x1=1:3, x2=11:13, y=c('a', 'a;b', 'b')) x1 x2 y 1 1 11 a 2 2 12 a;b 3 3 13 b I have a data.frame in the format like above, where if
I'm trying to run setCor(Relconflict ~ dif * ï..ORG * Nation * LrelQ, data = Data2, zero = FALSE, std = FALSE, use = "complete") while trying to run a mode
I have the below UI and server for my data. I would like to have the value in the number column as a hyperlink, then by clicking can go through the website. I w