I tried to use subset but its targeting specific column conditionalis there anyway to scan through the whole dataframe and create a subset that no cell is either na or blank space. I tried in different ways but could not get na to be included in the table if not using ascharacter see example.
Time type id 1 10 a na 2 20 b 1 3 na c na 4 30 na 1 can anyone tell me how i might do this.
R table include na. I want to use table to show na values with factor variables. And im trying to exclude any cell containing na or a blank space. Dear all is there a better way to include nas of a factor in the output of table than using ascharacter.
Do not include factors unless you need to relevel them by removing empty levels. Na is shown as the last factor level in the table. If omitted only factors are considered categorical variables.
Using the set up from the help page i have. R remove rows with nas in dataframe. The variables specified here must also be specified in the vars argument.
I need this to be a value of 1 so my needed solution should give. Showing nas when using table. I tried in different ways but could not get na to be included in the table if not using ascharacter see example.
If true na is handled as a regular factor level rather than missing. Sort x1 nalast true 1 1 3 4 na na no matter the goal of your r code it is wise to both investigate missing values in your data and use the help files for all functions you use. Admittedly i do not understand the help page for table concerning the exclude argument applied to factors.
Admittedly i do not understand the help page for table concerning the exclude argument applied to factors. B factorrepcabc 10 d. 3 replies dear all is there a better way to include nas of a factor in the output of table than using ascharacter.
You should be either aware of and comfortable with the default treatments of missing values or specifying the treatment of missing values you want for your analysis. However this code ignores the na in column type resulting in a value of na in column id. I have a dataframe named subnew with multiple columns in it.
The r function of the day series will focus on describing in plain language how certain r functions work focusing on simple examples that you can apply to gain insight into your own data. Today i will discuss the table function.
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