I have some data in my R data frame like this: CharDate loc t_0h t_1h t_2h t_3h t_4h t_5h t_6h xyz_20110101 A 2 20.00000 5 12.00000 13.00000 25.00000 2.00000 xyz_20110101 B 3 26.66667 7 14.33333 15.33333 28.33333 14.66667 xyz_20110102 A 4 33.33333 9 16.66667 17.66667 31.66667 27.33333 xyz_20110102 B 5 40.00000 11 19.00000 20.00000 35.00000… Read More Reformat data frame in R for hourly values
I am trying to plot a quadratic regression line over a plot. This is the plot currently: This is the code I have tried: I think it is quite self explanatory with the picture. model7<-lm(count~distance+I(distance^2), data=data) summary(model7) plot(count~distance, data=data) lines(fitted(model7)) >Solution : You could make a new dataframe and then add it to the plot… Read More Fitted Model Line is looking very wrong. Fitting a Quadratic Regression Line to a plot
I have this data: years <- c("2010", "2011", "2012", "2013", "2014", "2015", "2016", "2017", "2018", "2019", "2020") n_cohorts <- length(years) df <- structure(list(label2plot = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L ), levels = c("aaa", "bbb"), class = c("ordered", "factor")),… Read More How to manage issue while converting character to factor in R
I have a list of genes with their specific expressions in one column. what I am trying to do is if the minimal expression of a gene is higher than a threshold. add the name of the gene to an empty dataframe, and use this function to loop through all genes in the beginning dataframe:… Read More writing function that conditionally adds something to a dataframe
I have a matrix of data, where I want to check whether or not the absolute value of each column falls within a certain range. Moreover, I would like to calculate the proportion of times it occurs across all columns. I know how to do this manually but I would like to write this generally… Read More Evaluating boolean expression over the columns of a matrix against the elements of a vector in R
I have a data.frame with multiple columns in it. The first in the frame is the dependent variable and the other columns are various independent variables. I’d like to create a table with all the R2s where column1 is y, and the each column is a different x. Here’s an example data.frame: df <- data.frame(… Read More R Software: Creating a table of r-squares from a table with multiple data series
I’m curious why the vertical line is showing at -10 and not 10 in the following example: x <- rnorm(1e4, 0, 10) plot(density(x)) abline(10, 1, col = "red") >Solution : What you need is using h=10 instead of a=10, b=1. From the helpfile you can read: h the x-value(s) for vertical line(s). So, to produce… Read More Why does abline shows on the opposite side on kernel density plots?
This is my list list_names <- vector(mode = ‘list’) list_names[[‘NAME A’]] <- rnorm(n = 10,sd = 2) list_names[[‘NAME B’]] <- rnorm(n = 10,sd = 2) list_names[[‘NAME C’]] <- rnorm(n = 10,sd = 2) list_names[[‘NAME D’]] <- rnorm(n = 10,sd = 2) list_names[[‘NAME E’]] <- rnorm(n = 10,sd = 2) list_names[[‘NAME F’]] <- rnorm(n = 10,sd… Read More In R how to operate in a list with names
I had a large data frame that I grouped and then split into a list of over 400 vectors. There are some tibbles within this data frame that have one column with only 0’s as entries and I would like to somehow remove these entries from list or data frame. A smaller sample of what… Read More Filtering out data frame from list
In a dataframe frame like this: data.frame(term = c("clear text","character <U+C6C3>","<e9>guret text")) Is there any command which could provide the removal of the character inside the <> Example output: data.frame(term = c("clear text","character","guret text")) >Solution : Simple usage of gsub and trimws. data <- data.frame(term = c("clear text", "character <U+C6C3>", "<e9>guret text")) data$term <- trimws(gsub("<.*>",… Read More Remove illegal character