你好！
尋求幫助。
我是 JMP 新用戶，在看似簡單的任務上遇到了困難。
我有一張 2x3 的桌子。
第 1 列是短文（日期）...
第 2 列是文本，非常長的文本。
我需要將表格匯出為格式，日記或圖片檔案。
至關重要的是我能夠定義表格大小並換行第 2 列中的文本。
請幫忙。
TIA
如果您在建立我發送的範例資料表後執行以下命令
dt<< set window size(1500,800);
dt:text << set Display Width(1200);
nw=new window("test",<<JOURNAL></JOURNAL>
您將獲得如下所示的 PowerPoint 幻燈片
這非常接近使用這種方法所能達到的最佳效果。您可以花時間建立自己的顯示窗口，使用替代顯示對象，這應該可以滿足您的需求。
dt << close side panels(1)
將關閉側面板。
這有效 - 你的問題 - 有什麼方法可以擺脫包含範例、列、行的左側欄嗎？所以你只看數據？
這是表的類型。我所說的長數據只是指很多字符:)
如果我將其轉儲到日誌中，它不會保留表中的列或行規範，並且不會換行文字。
我需要輸出看起來像這樣，但我可以以照片或其他格式傳輸給非 jmp 用戶。
非常感謝！
下面開始回答您的問題。不知道「很長的文字」是什麼意思，我必須為我的範例抓取一堆文字。看一下，看看是否有一些改進可以解決您的問題。
names default to here(1);
dt = New Table( "Example",
Add Rows( 3 ),
Set Cell Height( 178 ),
New Column( "date",
Numeric,
"Continuous",
Format( "m/d/y", 10 ),
Input Format( "m/d/y" ),
Set Values( [3662582400, 3664396800, 3667075200] )
),
New Column( "Text",
Character,
"Nominal",
Set Values(
{
"This book describes the initial types of analyses that you often perform in JMP:
• The Distribution platform illustrates the distribution of a single variable using histograms, additional graphs, and reports. Once you know how your data is distributed, you can plan the appropriate type of analysis going forward. See Distributions.
• The Fit Y by X platform analyzes the pair of X and Y variables that you specify, by context, based on modeling type. See Introduction to Fit Y by X. The four types of analyses include:
– The Bivariate platform, which analyzes the relationship between two continuous X variables. See Bivariate Analysis.
– The Oneway platform, which analyzes how the distribution of a continuous Y variable differs across groups defined by a categorical X variable. See Chapter 6, “Oneway Analysis”.
– The Contingency platform, which analyzes the distribution of a categorical response variable Y as conditioned by the values of a categorical X factor. See Contingency Analysis.
– The Logistic platform, which fits the probabilities for response categories (Y) to a continuous X predictor. See Logistic Analysis.
• The Tabulate platform interactively constructs tables of descriptive statistics. See Tabulate.
• The Simulate feature provides parametric and nonparametric simulation capability. See Simulate.
• Bootstrap analysis approximates the sampling distribution of a statistic. The data is re-sampled with replacement and the statistic is computed. This process is repeated to produce a distribution of values for the statistic. See Bootstrapping.
• The Text Explorer platform enables you to categorize and analyze unformatted text data. You can use regular expressions to clean up the data before you proceed to analysis. See Text Explorer.",
"The Distribution platform illustrates the distribution of a single variable using histograms, additional graphs, and reports. The word univariate simply means involving one variable instead of two (bivariate) or many (multivariate). However, you can examine the distribution of several individual variables within a report. The report content for each variable changes depending on whether the variable is categorical (nominal or ordinal) or continuous.",
"The Bivariate platform shows the relationship between two continuous variables. It is the continuous by continuous personality of the Fit Y by X platform. The word bivariate simply means involving two variables instead of one (univariate) or many (multivariate).
The Bivariate analysis results appear in a scatterplot. Each point on the plot represents the X and Y values for a single observation; in other words, each point represents two variables. Using the scatterplot, you can see at a glance the degree and pattern of the relationship between the two variables. You can interactively add other types of fits, such as simple linear regression, polynomial regression, and so on."
}
)
)
);
dt<< set window size(1500,800);
dt:text << set Display Width(1200);
nw=new window("test",<<JOURNAL></JOURNAL>
