the amount of rows between the markers is not consistent with the elapsed time. Therefore, what I want to do is to evenly divide the rows in the amount of ms they should consist of. For example, one trial might have 50 rows between tone_onset and stimulus_onset, and ...
Because no caracals were recorded by camera 2, and no leopards were recorded by camera 5, these rows are fully populated with NAs. I know, however, that cameras 2 and 5 did work during this time so there should be "0"s for V2:V9 for caracals at camera 2 and for V3:V8...
Drop column in R using Dplyr: Drop column in R can be done by using minus before the select function. Dplyr package in R is provided with select() function which is used to select or drop the columns based on conditions like starts with, ends with, contains and matches certain criteria ...
Thedplyrpackage provides a powerful set of tools for working with data frames in R. One of the most commonly used functions in this package isfilter(), which allows you to select rows from a data frame based on a condition. You can then use the-operator to remove these rows from the d...
Select certain columns in a data frame with the dplyr function select. Select certain rows in a data frame according to filtering conditions with the dplyr function filter . Link the output of one dplyr function to the input of another function with the ‘pipe’ operator %>%. ...
Replicate rows This sample shows how to replicate positive records in a dataset to balance the sample: RCopy azureml_main <-function(dataframe1, dataframe2){ data.set <- dataframe1[dataframe1[,1]==-1,]# positions of the positive samplespos <- dataframe1[dataframe1[,1]==1,]# replicate...
Remove missing values Select random rows from a data frame Select top n rows ordered by a variable Summary Required packages Load thetidyversepackages, which includedplyr: library(tidyverse) Demo dataset We’ll use the R built-in iris data set, which we start by converting into a tibble data...
Let’s make use of a distinct function from dplyr library. distinct(data) Column1 Column2 1 P1 5 2 P2 3 3 P3 5 4 P1 2 5 P1 3 6 P3 4 7 P4 7 8 P2 10 9 P4 14 Approach 2: Remove Duplicates in Column If we want to delete duplicate rows or values from a certain column, we...
any – Check whether any values of a logical vector are TRUE. apply – Apply function by rows or columns of a data frame. apropos – Return character vector with names of objects that contain the input. arrange [dplyr] – Order data frames and tibbles. ...
That means we need to reorder the data itself (the rows), not the factor levels, in order to reorder the plot. I use the arrange function from the dplyr package to reorder the data so that ggplot2 will encounter the data levels in the correct order and thus plot as expected. Note ...