![]() In Stata this works fine, but as soon as I export it all the data is lost. I am trying to create a table in stata and export it to Word. Missing values are sorted last, like in Stata. 1 Export summary statistics using tabstat and estpost (esttab), 07:10 Hello, after reading through the forum I found that esttab often causes issues. Contrast the following behaviors with Stata df v In particular, rows that evaluate to NA are dropped. To filter rows with missing observations for y: df % filter(!is.na(y))įilter(df, condition) only filters rows where the condition evaluates to TRUE. In Stata, the empty character “” is a missing value. Use is.na to test for missing values 1 = NA Operations involving NA return NA when the result of the operation cannot be determined. In R, missing values are special values that represents epistemic uncertainty. In Stata, missing values behave like +Inf. This contrasts with column subsetting, which only creates shallow copies. This means memory is required both for the existing and the new dataset. When subsetting a dataset wrt rows, R returns a new dataset without destroying the existing one. ![]() I am using the summarize command in Stata to extract the standard deviation but Stata does not recognize the frac variable. The equivalent of Stata inrange is between Stata 1 I am trying to create a variable for each year in my data based on mathematical expressions of other variables (I have annual data and used '.' to avoid writing each year). You can also filter rows based on their position: Stata You can filter rows using logical conditions Stata To apply each function to multiple variables: Stataĭf %>% summarize(across(starts_with("v"), list(~mean(., na.rm = TRUE), ~sd(., na.rm = TRUE))))Ĭompared to Stata, these commands don’t overwrite the existing dataset. To return a dataset composed of summary statistics computed over multiple rows : Stataĭf %>% summarize(mean(v1, na.rm = TRUE), sd(v2, na.rm = TRUE)) The syntax for collapsing dataset is very similar to the syntax for modifying columns : just use summarize instead of mutate In case your dataset is very large, `mutate` one variable at a timer rather than using `mutate_at` Below is my Stata code: eststo sumstats1: quietly estpost sum var1 var2 var3. (Type summarize dog, detail to get more detailed information about the variable 'dog'. Simply type summarize into the 'Command' window. When replacing every variable in the dataset, `dplyr` requires twice the amount of memory compared to data.table since a whole new dataset is temporarly created. esttab, scalars(ll0 ll chi2) or, alternatively, a list of. Notice that the default file format is 'Stata Data' We are going to use the summarize command to get basic information about our data. ![]() To apply the same function to multiple columns, use across Stataĭf %>% mutate(across(c(v1, v2), as.character)) To modify only certain rows of a column: Stataĭf %>% mutate(v1 = ifelse(id = "id01", 0, v1)) This table gives the list of helper functions: Stata In dplyr, helper functions allow very similar results: Stata In Stata, wildcards allow to select multiple variables. This does not always require more memory: when subsetting columns, the new dataset is a shallow copy of the existing one - at least until the new dataset is modified. Other users who have found the question cross-posted are encouraged to share the links as a reply as well.Contrary to Stata, R returns a new dataset without destroying the existing one. If you've asked a question, let people know where else you asked the question and what your solution(s) were! When you post a question on another platform, include those links in your questions or as a reply (if it's Discord, just mention it).See the sticked "READ ME: How to best ask for help in /r/Stata" post on how to comment here if all else fails. Make sure to include the word "Stata" in your search query. Perform a web search for your question prior to posting here. Stata's online community has been active for many years and many questions and solutions are documented on StataList, which are highly indexed on contemporary search engines (e.g., Google). Stata has extensive and complete documentation you can read before posting here (and you can type help followed by the command name in console to see it, e.g. This is not a place to find Stata tutoring. Do not request that the /r/Stata community do your homework for you. ![]() Assume good faith questions and comments. Be nice when posting or commenting to a post.Commands can generally be abbreviated to save typing. The Code Block on Discord (run by Asjad Naqvi of The Stata Guide) An example that uses all elements of this syntax appears in the Summarizing Data section. ![]()
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