Factor labels r
WebMay 10, 2024 · Using just Base R this is a two step process. Assuming your initial vector is numeric and not character strings (as shown above), use the cut function to define the initial factor equivalents. Then use the "labels" option in … http://www.cookbook-r.com/Manipulating_data/Renaming_levels_of_a_factor/
Factor labels r
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WebNov 3, 2024 · 3 Answers Sorted by: 13 The original question asks how 'to extract the values of the labels attribute to a list.' A solution to the main question follows (assuming some_df is imported via haven and has label attributes). Update: I've now added a way to extract a label vector with the package sjlabelled. WebTo factor each column, put the x dataset, the levels, and the labels all into a named list. The names of each element correspond to the names of the arguments you need to use from factor. This allows you to easily use pmap_df from purrr to factor each column of x, using the known levels and labels information.
WebFor atomic vectors, this would be the names. But if there are no names, the labels function returns the element indices coerced to strings - something like as.character (seq_along (x)). ...So that's what your seeing when you try labels on a factor. The factor is an integer vector without any names, but with a levels attribute. WebIt’s possible to rename factor levels by name (without plyr), but keep in mind that this works only if ALL levels are present in the list; if any are not in the list, they will be replaced with NA. It’s also possible to use R’s string search-and-replace functions to rename factor levels. Note that the ^ and $ surrounding alpha are there ...
WebMar 29, 2024 · Part of R Language Collective Collective. 1. I have a dataframe with factors coded with 1 = yes and 2 = no. The factors are all named ending on _L. Note that in the real dataframe, they are not all next to each other. df <- data.frame (var_L = factor (c (1,1,1,2,2,2), labels = c ("yes","no")), var2_L = factor (c (1,2,1,2,1,2), labels = c ("yes ... WebApr 10, 2024 · This function is intended for use with vectors that have value and variable label attributes. Unlike as.factor, as_factor converts a variable into a factor and preserves the value and variable label attributes. Adding label attributes is automatically done by importing data sets with one of the read_*-functions, like read_spss.
WebTo understand value labels in R, you need to understand the data structure factor. You can use the factor function to create your own value labels. # variable v1 is coded 1, 2 or 3 # …
WebJun 23, 2015 · Extract the level from a factor Asked R Language Collective Collective 5 I have a factor instrumentF: > instrumentF [1] Guitar Drums Cello Harp Levels: Cello Drums Guitar Harp Let's say I extract one level of this factor using []. > level2 = instrumentF [1] > level2 [1] Guitar Levels: Cello Drums Guitar Harp phenogram vs phylogramWebConvert variable into factor with associated value labels Source: R/as_character.R, R/as_label.R as_label () converts (replaces) values of a variable (also of factors or character vectors) with their associated value labels. Might be helpful for factor variables. phenogeneticWebOct 9, 2024 · 在ggplot2中为柱状图添加百分比标签[英] Adding percentage labels to a bar chart in ggplot2 phenogram treeWebR Factors. Factor is a data structure used for fields that takes only predefined, finite number of values (categorical data). For example: a data field such as marital status may contain … phenogram definitionWebJun 13, 2024 · 1 Answer. labs = letters [3:7] vec = rep (1:5,2) factorVec <- factor (x=vec, levels=sort (unique (vec)), labels = c ( "c", "d", "e", "f", "g")) I have sorted the unique … phenogram medicineWebAug 19, 2024 · I want to extract these labels along with the data into CSV/ xlsx format, so the end product would be the data set with the column names as the first row, then the labels as the second row etc. I've already tried things from the "foreign" library in R such as dataset.labels <- as.data.frame(attr(dataset, "label")) but all this just returns NULL. phenogeno rose trendyWebR has a number of (undocumented) convenience functions for converting factors: as.character.factor; as.data.frame.factor; as.Date.factor; as.list.factor; as.vector.factor... But annoyingly, there is nothing to handle the factor -> numeric conversion. As an extension of Joshua Ulrich's answer, I would suggest to overcome this omission with the ... phenodral 15 ml