diff --git a/README.rmd b/README.rmd index 5bf42b6..92a5c14 100644 --- a/README.rmd +++ b/README.rmd @@ -9,7 +9,7 @@ output: md_document Lightweight package to conduct qualitative coding. - + ## tl;dr @@ -94,7 +94,7 @@ These will hold the documents to be coded, information about the codes, unit information and the r data frames that will be the core of the analysis. For this example the folder and file structures for the sample data will look similar to this. -![](../images/folderstructure.png) +![](images/folderstructure.png) ### Documents In our example we've already placed our documents into the "documents" folder. @@ -178,7 +178,7 @@ import_project_data(project = "my_qcoder_project") ``` Now the data_frames folder will contain the imported files. -![](../images/data_frames_folder.png) +![](images/data_frames_folder.png) Now it's time to start coding. @@ -201,7 +201,7 @@ This will pull a document into the editor. Select your project folder. -![](../images/coding_step2_folder_select.png) +![](images/coding_step2_folder_select.png) Once you have a project, use the drop down menu to select a particular document to code. This will open in an editor. When done coding (instructions below), @@ -209,16 +209,16 @@ click Save changes. Select your project folder. -![](../images/coding_step3_document_select.png) +![](images/coding_step3_document_select.png) Switching to the "Codes" tab a list of codes from the codes file is displayed. -![](../images/codestab.png) +![](images/codestab.png) Our sample data already has some coding done, and the code-text data is displayed on the "Coded data" tab. -![](../images/codeddata.png) +![](images/codeddata.png) ### Coding the data diff --git a/docs/index.html b/docs/index.html index 98c87f5..1442f3f 100644 --- a/docs/index.html +++ b/docs/index.html @@ -94,7 +94,7 @@

Lightweight package to conduct qualitative coding.

-

+

tl;dr

@@ -134,7 +134,7 @@

This will create one main folder and four subfolders. Unless you specified otherwise it will be in your current working directory (you can find this with the getwd() command at the console). If you have a specific location where you want to put the folder change your working directory.

These will hold the documents to be coded, information about the codes, unit information and the r data frames that will be the core of the analysis. For this example the folder and file structures for the sample data will look similar to this.

- +

@@ -187,7 +187,7 @@

Importing the data

To import this data into Qcode user the import_project_data() function.

import_project_data(project = "my_qcoder_project")
-

Now the data_frames folder will contain the imported files.

+

Now the data_frames folder will contain the imported files.

Now it’s time to start coding.

Coding uses a “Shiny App” to provide a user interface to the data. To launch the app use the function qcode().

qcode()
@@ -203,20 +203,20 @@

Select your project folder.

- +

Once you have a project, use the drop down menu to select a particular document to code. This will open in an editor. When done coding (instructions below), click Save changes.

Select your project folder.

- +

Switching to the “Codes” tab a list of codes from the codes file is displayed.

- +

Our sample data already has some coding done, and the code-text data is displayed on the “Coded data” tab.

- +