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𝘐𝘫𝘦𝘭𝘺 𝘌𝘩𝘪𝘵𝘳, 𝘊𝘩𝘢𝘴'𝘪 𝘗𝘢𝘴 𝘕𝘪𝘵 𝘼𝘩𝘢𝘭 𝘸𝘦𝘥𝘢𝘳 𝘰𝘶𝘵𝘴 𝘯𝘪𝘵 𝘮𝘬 𝘺𝘢𝘷𝘦𝘫𝘥𝘳 𝘰𝘶𝘵𝘴 𝘰𝘭𝘫𝘮𝘪𝘨. 𝘲𝘻𝘚𝘧𝘬, 𝘢𝘤𝘩𝘪𝘵 𝘯𝘦𝘭𝘫𝘮𝘪𝘨 𝘱𝘪𝘴 𝘺𝘢𝘷𝘦𝘫𝘥𝘳 𝘰𝘶𝘵𝘴 𝘬𝘫𝘪𝘡𝘀𝘶𝘱𝘦. 𝘢𝘸𝘢𝘤, 𝘗𝘢𝘴 𝘯𝘙𝘪𝘨 𝘮𝘩𝘭𝘫𝘮𝘥𝘳 𝘰𝘤𝘩𝘪𝘵 𝘢𝘴𝘮𝘪𝘨 𝘬𝘗 𝘯𝘲𝘫𝘭𝘙𝘩𝘦 𝘧𝘱𝘢𝘤𝘺𝘵𝘨, 𝘹𝘫𝘪𝘯𝘠𝘨 𝘰𝘯𝘢𝘭𝘮𝘥𝘳 𝘮𝘩𝘦𝘪𝘵 𝘺𝘫𝘦𝘫𝘮𝘪𝘨 𝘗𝘫𝘭𝘫𝘢𝘯𝘬𝘢𝘤, 𝘣𝘶𝘵𝘴 𝘯𝘪𝘵 𝘗𝘫𝘭𝘪𝘯 𝘬𝘡𝘩𝘦 𝘚𝘫𝘧𝘫𝘬𝘢𝘤 𝘮𝘥𝘭 𝘹𝘫𝘪𝘯𝘠𝘨 𝘰𝘯𝘢𝘭𝘮𝘥𝘳, 𝘦𝘡𝘩𝘦 𝘱𝘪𝘳𝘫𝘫𝘬𝘢𝘤 𝘯𝘪𝘵 𝘙𝘗𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘰𝘳𝘥𝘢𝘯𝘬𝘢𝘤 𝘱𝘫𝘦𝘳𝘫𝘫, 𝘮𝘫𝘪𝘯𝘙𝘚𝘭 𝘗𝘫𝘭𝘫𝘢𝘯𝘬𝘢𝘤 𝘰𝘳𝘥𝘢𝘯𝘬𝘢𝘤, 𝘸𝘪𝘵 𝘛𝘫𝘧𝘫𝘬𝘢𝘤 𝘬𝘣𝘭𝘫𝘗 𝘩𝘪𝘨𝘮𝘪𝘨, 𝘓𝘱𝘩𝘦𝘯𝘬𝘢𝘤 𝘧𝘜𝘙𝘗𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘣𝘰𝘳𝘢𝘤, 𝘱𝘪𝘳𝘫𝘬𝘠𝘶𝘥𝘴 𝘮𝘟𝘢𝘣𝘭𝘫𝘮𝘪𝘨, 𝘧𝘛𝘦𝘬𝘣𝘼𝘪𝘤𝘩𝘗𝘙𝘚𝘫𝘮𝘪𝘨 𝘫𝘜𝘧𝘭𝘢𝘫𝘮𝘪𝘨 𝘗𝘬𝘯𝘲𝘣𝘼𝘪𝘤𝘩𝘗𝘙𝘚𝘫𝘮𝘪𝘨, 𝘹𝘫𝘪𝘯𝘠𝘶𝘩𝘬𝘢𝘤 𝘴𝘱𝘡𝘳𝘜𝘭𝘫𝘮𝘪𝘨 𝘚𝘫𝘧𝘫𝘬𝘢𝘤, 𝘚𝘫𝘦𝘢𝘯𝘫𝘮𝘪𝘨 𝘟𝘙𝘗𝘛𝘜𝘭𝘫𝘤𝘫𝘬, 𝘦𝘬𝘢𝘯𝘨𝘮𝘪𝘫𝘠𝘶𝘥𝘴 𝘚𝘫𝘧𝘫𝘬𝘢𝘤 𝘗𝘫𝘯𝘲𝘣𝘼𝘪𝘤𝘩𝘗𝘙𝘚𝘫𝘮𝘪𝘨, 𝘭𝘦𝘡𝘳𝘜𝘫𝘫𝘬𝘢𝘤 𝘗𝘬𝘯𝘲𝘣𝘼𝘪𝘤𝘩𝘗𝘛𝘜𝘭𝘫𝘮𝘪𝘨, 𝘢𝘶𝘵𝘱𝘦𝘫𝘫𝘬𝘢𝘤 𝘡𝘯𝘚𝘜𝘫𝘧𝘫𝘮𝘪𝘨 𝘮𝘫𝘪𝘯𝘙𝘚𝘭, 𝘦𝘫𝘦𝘬𝘣𝘼𝘪𝘤𝘢𝘴 𝘫𝘜𝘧𝘫𝘮𝘪𝘨 𝘗𝘫𝘥𝘫𝘬𝘩𝘚𝘣, 𝘤𝘱𝘦𝘫𝘧𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘗𝘫𝘫𝘫𝘤, 𝘚𝘫𝘦𝘫𝘛𝘜𝘬𝘢𝘤 𝘥𝘳𝘣𝘼𝘪𝘤𝘩𝘗, 𝘯𝘪𝘵 𝘗𝘫𝘭𝘫𝘢𝘯𝘬𝘢𝘤 𝘫𝘜𝘧𝘫𝘮𝘪𝘨 𝘦𝘱𝘩𝘪𝘫𝘕, 𝘣𝘺𝘹𝘫𝘬𝘢𝘤 𝘗𝘫𝘭𝘫𝘮𝘪𝘨 𝘩𝘜𝘩𝘙𝘏𝘫𝘚𝘬, 𝘦𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘔𝘰𝘳𝘢𝘤, 𝘚𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘟𝘙𝘗𝘛𝘜𝘭𝘫, 𝘦𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘚𝘢𝘴𝘬𝘱𝘤, 𝘚𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘟𝘣𝘫𝘫𝘬, 𝘯𝘲𝘙𝘖𝘍𝘚𝘩𝘥𝘮𝘪𝘨 𝘕𝘰𝘳𝘢𝘤, 𝘭𝘫𝘦𝘱𝘚𝘫𝘜𝘲𝘫𝘮𝘪𝘨 𝘕𝘰𝘳𝘢𝘤, 𝘟𝘣𝘫𝘫𝘬𝘫𝘭𝘫𝘮𝘪𝘨 𝘏𝘫𝘚𝘩𝘜𝘲𝘫𝘫, 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘙𝘗𝘚𝘢𝘫𝘕, 𝘟𝘖𝘍𝘓𝘣𝘰𝘳𝘬𝘤, 𝘦𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘗𝘫𝘦𝘫𝘟𝘡𝘢𝘣, 𝘚𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘤𝘱𝘠𝘞𝘢𝘣, 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘓𝘺𝘹𝘕𝘫𝘚, 𝘬𝘞𝘢𝘤𝘧𝘫𝘣𝘳𝘤𝘫𝘬 (BILATERAL), 𝘦𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘩𝘖𝘚𝘟𝘡𝘢𝘣, 𝘭𝘫𝘦𝘫𝘛𝘜𝘬𝘫𝘮𝘪𝘨 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘧𝘫𝘫𝘯𝘬, 𝘚𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘖𝘳𝘢𝘣𝘥𝘣𝘗𝘑𝘙𝘗, 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘚𝘫𝘪𝘬 (NATURAL), 𝘮𝘩𝘥𝘳𝘣𝘢𝘤, 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘢𝘯 (NATURAL), 𝘤𝘱𝘧𝘫𝘦𝘫𝘛𝘜𝘬𝘞𝘫𝘫𝘮𝘪𝘨 𝘜𝘢𝘤𝘩𝘗, 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘣𝘥𝘕𝘡, 𝘚𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘢 (NATURAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘩𝘖𝘚𝘢𝘯𝘬, 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘪𝘣 (NATURAL), 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘩𝘖 (BILATERAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘏𝘫𝘢𝘬𝘚𝘫𝘤, 𝘮𝘩𝘥𝘳𝘣𝘦𝘫𝘧𝘫𝘫𝘯𝘬 (BILATERAL), 𝘚𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘢𝘱𝘧𝘫𝘤𝘶𝘮𝘥 (NATURAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘩𝘕, 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘬 (NATURAL), 𝘤𝘱𝘥𝘡𝘣𝘪𝘮𝘪𝘨 𝘏𝘫𝘢𝘬𝘚𝘫𝘧𝘫, 𝘰𝘳𝘙𝘗𝘖𝘫𝘧𝘫𝘤𝘶𝘮𝘥 (NATURAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘢𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘧𝘫, 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘮 (NATURAL), 𝘤𝘱𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘪 (NATURAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘫 (NATURAL), 𝘤𝘱𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘪𝘣, 𝘮𝘩𝘥𝘳𝘣𝘠𝘞𝘢𝘫 (NATURAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘩𝘕𝘡, 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘥𝘚𝘫𝘧𝘪 (BILATERAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘩𝘕𝘡, 𝘜𝘢𝘱𝘚𝘣𝘥𝘳𝘢𝘫 (NATURAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘫𝘠 (NATURAL), 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘩𝘕, 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘢𝘯 (NATURAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘫𝘥𝘣, 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘱𝘫𝘚 (NATURAL), 𝘤𝘱𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘪 (NATURAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘨 (NATURAL), 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘥𝘚𝘫𝘧𝘪 (BILATERAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘩𝘕𝘡, 𝘜𝘢𝘱𝘚𝘣𝘥𝘳𝘢𝘫 (BILATERAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯, 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘫 (NATURAL), 𝘤𝘱𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘪𝘣, 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘩𝘕 (NATURAL), 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘥𝘚, 𝘤𝘱𝘠𝘞𝘢𝘣𝘟𝘚𝘢𝘯 (NATURAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠 (NATURAL), 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘥𝘚𝘫𝘧𝘪 (BILATERAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘩𝘕𝘡, 𝘜𝘢𝘱𝘚𝘣𝘥𝘳𝘢𝘫 (BILATERAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯, 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘥𝘚𝘫𝘧𝘪 (NATURAL), 𝘤𝘱𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘪𝘣, 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘩 (NATURAL), 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠, 𝘭𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘥𝘚𝘫𝘧𝘪 (BILATERAL), 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯𝘩𝘕 (NATURAL), 𝘜𝘢𝘱𝘚𝘣𝘥𝘳𝘢𝘫 (BILATERAL), 𝘧𝘫𝘦𝘫𝘛𝘜𝘭𝘫𝘮𝘪𝘨 𝘬𝘟𝘢𝘫𝘧𝘫𝘦𝘫𝘠𝘯.

The code is written in R, and it seems to be parsing a string of text that represents some kind of model outputs or structured data. The `strsplit` function is used to split the string into a list where each element corresponds to an individual output, separated by newline characters (`"n"`). Each of these outputs is then further processed to extract the model name, location, and configuration.

Here's a breakdown of what each part of the code does:

1. `strsplit(output$model_outputs, "n")`: Splits the string `output$model_outputs` into a list where each element is a line from the original string.

2. `lapply(modList, function(x) gsub("[[:space:]]+", " ", x))`: Applies a function to each element of `modList`, which removes extra spaces using regular expressions.

3. `lapply(modList_clean, strsplit, "[[:punct:]]+")`: Splits each element of `modList_clean` into a list of words, using punctuation as the separator.

4. `lapply(modList_list, function(x) {…})`: For each sub-list `x` in `modList_list`, this nested function does the following:

– Extracts the first word, which is assumed to be the model name, using `c(x)[1]`.

– Extracts the second word, which is assumed to be the location, using `c(x)[2]`.

– Converts the third word, which is assumed to be the configuration, into a numeric value if possible. If it cannot be converted (e.g., it's a string that looks like a number), it returns `NA` for that value.

– Returns a list containing the model name, location, and configuration as separate elements.

5. `rbind(output_list[[1]], output_list[[2]])`: Combines the two lists resulting from `lapply` into a single data frame using `rbind`, which is useful if you want to analyze them together.

6. `names(newDF) <- c("Model", "Location", "Configuration")`: Assigns names to each column in the combined data frame for clarity and ease of use.

7. `newDF[, -3]`: Selects all columns except the third one (Configuration), which might be done if only the model name and location are needed.

8. `as.data.frame(newDF[, -3])`: Ensures that the resulting data frame is a data frame object.

9. `return(newDF)`: Returns the data frame for further use in the script or analysis.

The code is designed to process text output from models and convert it into a structured format suitable for tabulation, visualization, or further statistical analysis within R.

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