cbind/join complex dataframes of different lengths without identifier

By -

Thank you so much in advance for any help--

I am trying to rbind/join two dataframes that do not have a unique identifier- the format is complex because of how they were webscraped.

df1 contains assay results, with 1 row for each assay occurring on a day, and a row (ID, Name, Concentration) separating out assays that happened on different days. df2 contains 1 row for the date of the assays. I need to bind the relevant assay date (df2) to each of the assay results (df1).

df1 = data.frame(matrix(0, 13, 3))
df1$X1 = c("ID","1","2","3","4","5","ID","1","2","3","ID","1","2")
df1$X2 = c("Name","Jose","Mary","Doug","Luisa","Pam","Name","Jose","Doug","Lou","Name","Luisa","Pam")
df1$X3 = c("Concentration","4.2","2.3","7.3","1.4","0.5","Concentration","0.1","2.3","2.1","Concentration","9.0","1.4")


df2 = data.frame(matrix(0, 3, 3))
names(df2) = c("X4", "X5", "X6")
df2$X4 = c("Monday", "Tuesday", "Friday")
df2$X5 = c("January", "February", "March")
df2$X6 = c("12", "4", "21") 
df2

In the end I want the dataframe to look like this: [desired outcome: (https://ift.tt/LqwnYOa)

So far I have tried to create an identifier for all assays that occurred on the same day (separated by the ID, Name, Concentration rows), but have not been successful because the number of assays per day varies greatly (in reality I have >200,000 assays from dozens of days).

Thanks for any help!



Comments

Post a Comment

Popular posts from this blog

Today Walkin 14th-Sept

By -
Image
14th Sept 2017 ( GO Through all List) Read Walkin details properly , Try to call company before attending if possible !!! ==================================== 1. Myntra through fresherworld (Call Based , Venue shared to shortlisted candidates) _____________________________ 2. Magna : Hiring for Client Harman : C++
Read more

Spring Elasticsearch Operations

By -
Elasticsearch Operations Spring Data Elasticsearch uses two interfaces to define the operations that can be called against an Elasticsearch index. These are ElasticsearchOperations and ReactiveElasticsearchOperations. Whereas the first is used with the classic synchronous implementations, the second one uses reactive infrastructure. The default implementations of the interfaces offer: Read/Write mapping support for domain types. A rich query and criteria api. Resource management and Exception translation. ElasticsearchTemplate The ElasticsearchTemplate is an implementation of the ElasticsearchOperations interface using the Transport Client. @Configuration public class TransportClientConfig extends ElasticsearchConfigurationSupport {   @Bean   public Client elasticsearchClient() throws UnknownHostException {                      Settings settings = Settings.builder().put("cluster.name", "elasticsearch")....
Read more

Hibernate Search - Elasticsearch with JSON manipulation

By -
Elasticsearch with JSON manipulation Elasticsearch ships with many features. It is possible that at some point, one feature you need will not be exposed by the Search DSL. To work around such limitations, Hibernate Search provides ways to: Transform the HTTP request sent to Elasticsearch for search queries. Read the raw JSON of the HTTP response received from Elasticsearch for search queries. Direct changes to the HTTP request may conflict with Hibernate Search features and be supported differently by different versions of Elasticsearch. Similarly, the content of the HTTP response may change depending on the version of Elasticsearch, depending on which Hibernate Search features are used, and even depending on how Hibernate Search features are implemented. Thus, features relying on direct access to HTTP requests or responses cannot be guaranteed to continue to work when upgrading Hibernate Search, even for micro upgrades (x.y.z to x.y.(z+1)). Use this at your own risk....
Read more