你好！
寻求帮助。
我是一名 JMP 新用户，在看似简单的任务上遇到了困难。
我有一张 2x3 的桌子。
第 1 列是短文本（日期）...
第 2 列是文本，非常长的文本。
我需要将表格导出为格式，日记或图片文件。
至关重要的是我能够定义表格大小并换行第 2 列中的文本。
请帮忙。
TIA
如果您在创建我发送的示例数据表后运行以下命令
dt<< set window size(1500,800);
dt:text << set Display Width(1200);
nw=new window("test",<<JOURNAL></JOURNAL>
您将得到如下所示的 PowerPoint 幻灯片
这非常接近使用这种方法所能达到的最佳效果。您可以花时间创建自己的显示窗口，使用替代显示对象，这应该可以满足您的需求。
dt << close side panels(1)
将关闭侧面板。
这有效 - 你的问题 - 有什么方法可以摆脱包含示例、列、行的左侧栏吗？所以你只看数据？
这是表的类型。我所说的长数据只是指很多字符:)
如果我将其转储到日志中，它不会保留表中的列或行规范，并且不会换行文本。
我需要输出看起来像这样，但我可以以照片或其他格式传输给非 jmp 用户。
非常感谢！
下面开始回答您的问题。不知道“很长的文本”是什么意思，我不得不为我的示例抓取一堆文本。看一下，看看是否有一些改进可以解决您的问题。
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>
